WEBVTT - How Image Sensors Work

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<v Speaker 1>Brought to you by the reinvented two thousand twelve Camray.

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<v Speaker 1>It's ready. Are you get in touch with technology with

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<v Speaker 1>tex Stuff from how stuff works dot com. Hello, and

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<v Speaker 1>welcome to tex Stuff. My name is Chris Poulette and

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<v Speaker 1>I am an editor at how stuff works dot com,

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<v Speaker 1>sitting in a cross froom me as usual as senior

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<v Speaker 1>writer Jonathan Strickland. Psychics can see the color of time.

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<v Speaker 1>It's blue. Okay, I'd kind of love to know what

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<v Speaker 1>what that one's from. I'll tell you. I'll tell you

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<v Speaker 1>after the show if you remind me, alright, I always

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<v Speaker 1>say that I'll tell you, and I never tell you

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<v Speaker 1>because I always forget by the time we're done recording.

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<v Speaker 1>Tell me what there's the trivia for you, folks. So

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<v Speaker 1>today we thought we would look at something. Actually, it

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<v Speaker 1>was Chris's suggestion that we look into this particular topic,

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<v Speaker 1>which was the the topic of image sensors and what

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<v Speaker 1>they do and what the two main types of image sensors,

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<v Speaker 1>how they are different from one another, and uh, and

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<v Speaker 1>I thought it was a great idea. It's also a

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<v Speaker 1>fairly complex topic. We do have an article on how

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<v Speaker 1>stuff works dot com that says what is the difference

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<v Speaker 1>between c c D and CMO s image sensors in

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<v Speaker 1>a digital camera. And that's really what we're gonna be

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<v Speaker 1>talking about here. Um. So that there is an article

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<v Speaker 1>on the site, and it's a nice short article if

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<v Speaker 1>you want a quick overview, but we're gonna go into

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<v Speaker 1>some detail a little bit in this podcast. And really

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<v Speaker 1>the first thing you need to know is that an

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<v Speaker 1>image sensor is it's taking the place of film, right, Yes,

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<v Speaker 1>that's correct. Yeah, a long and long time ago in

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<v Speaker 1>a galaxy that happens to be right here where we're sitting.

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<v Speaker 1>We did a podcast on the megapixel myth um. I

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<v Speaker 1>think a lot of people equate uh numbers with a

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<v Speaker 1>way too yeah, with quality, and they say, oh, well,

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<v Speaker 1>I've got a twelve megapixel camera that's obviously better than

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<v Speaker 1>that six make a pixel camera I used to own. Well,

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<v Speaker 1>it depends on what you're doing with the photo. It

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<v Speaker 1>also depends on again the other qualities of that camera, right,

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<v Speaker 1>and image sensors have a lot more to do with

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<v Speaker 1>the quality of the photo. But in a way it

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<v Speaker 1>really depends because again this uh there, there's this this

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<v Speaker 1>idea that there are two different kinds which kind is better.

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<v Speaker 1>It depends on what you're doing with that, what are

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<v Speaker 1>you taking photos of? UM and uh, as it turns out,

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<v Speaker 1>they're they're not really better than one another. Inherently, they're

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<v Speaker 1>they're better than one another for specific applications of the

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<v Speaker 1>photographic technology, and the quality of the two sensors is

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<v Speaker 1>constantly getting closer and closer, so that the things that

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<v Speaker 1>one sensor does better than the other start to become

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<v Speaker 1>less distinct over time because the technology is improving on

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<v Speaker 1>both sides simultaneously. Uh. If we were to go back

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<v Speaker 1>a little bit to the early days of digital cameras,

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<v Speaker 1>the distinction was was clear. You know, you would say that, well,

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<v Speaker 1>a professional photographer would more likely have a cc D

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<v Speaker 1>image sensor in his or her camera c c D

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<v Speaker 1>meaning charge coupled device, charge coupled device, that's that's one

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<v Speaker 1>of the two types. And someone who has say a

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<v Speaker 1>relatively inexpensive of course, back in the early day of

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<v Speaker 1>digital cameras, that was definitely relatively eight billion dollars, only

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<v Speaker 1>a thousand, princely going back to that a thousand dollars

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<v Speaker 1>as opposed to say eight thousand dollars. But a person

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<v Speaker 1>holding one of those cameras might have a CMOS or

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<v Speaker 1>a complementary metal ox side semiconductor image sensory. They come

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<v Speaker 1>up and say, that's a wonderful shirt you're wearing today.

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<v Speaker 1>That's such a great picture you've taken. Have you lost weight? No,

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<v Speaker 1>it's not that kind of complimentary. I have a whole

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<v Speaker 1>joke about that, but I'm going to everybody because we've

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<v Speaker 1>already said the punchline. Anyway, these are the two different sensors,

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<v Speaker 1>and they do go about capturing data a different way.

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<v Speaker 1>Let's let's go into the basic way a camera captures

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<v Speaker 1>an image. I'm going to talk about still camera here. Okay,

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<v Speaker 1>so we're talking about cameras in general, not necessarily film

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<v Speaker 1>or digital. Right, So, in general, what happens is you've

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<v Speaker 1>got a camera and you're pointing it at something that

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<v Speaker 1>you want to take a photo of. Light is coming

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<v Speaker 1>towards you. It's reflecting off of the the subject of

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<v Speaker 1>your photo. If light we're not reflecting off the subject

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<v Speaker 1>of your photo, it would either mean you were in

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<v Speaker 1>total darkness, in which case taking a photo is not

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<v Speaker 1>very helpful, or you're taking a picture of a black

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<v Speaker 1>hole because not even light can escape it. That being said,

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<v Speaker 1>they're actually looking at making a physical picture of a

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<v Speaker 1>black hole using radio telescopes, which is so cool. That's

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<v Speaker 1>a tangent. Anyway, so light is coming from the subject

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<v Speaker 1>is some We should do a full podcast just on that.

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<v Speaker 1>But anyway, lights coming from from the subject towards the

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<v Speaker 1>camera and uh, and the light passes through the lens.

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<v Speaker 1>The purpose of the lens is to focus that light

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<v Speaker 1>toward a specific point within the camera. It moves through

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<v Speaker 1>the aperture, which is the opening behind the lens that

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<v Speaker 1>allows light to pass through. There's a shutter that's there

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<v Speaker 1>behind the aperture which actually directs the light up towards

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<v Speaker 1>the view finder. For the old style cameras, you know,

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<v Speaker 1>the ones that don't have the you know, you're not

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<v Speaker 1>looking at a screen on the back, you're looking actually

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<v Speaker 1>through a view finder. Well, that light gets directed up

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<v Speaker 1>by a mirror that's essentially attached to the shutter that

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<v Speaker 1>makes the light go up inside the camera. Then it

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<v Speaker 1>hits a prism which inverts the light. Because you may

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<v Speaker 1>not know this, but the light the image that's coming in.

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<v Speaker 1>That's saying the sensor is actually upside down from our perspective. Gasp.

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<v Speaker 1>So if you didn't have that prism there, the subject

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<v Speaker 1>you're looking at would be upside down. It would be

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<v Speaker 1>like everything you're taking photos of was in Australia, unless

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<v Speaker 1>you're Australian, in which case it's all in Detroit. So

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<v Speaker 1>that's that's way. If you're wondering why there's all these

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<v Speaker 1>giant car factories in Australia, it's not. It's just because

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<v Speaker 1>you didn't have that there, right, Um, Okay, that's a

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<v Speaker 1>terrible joke, but no, the prism does invert the light,

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<v Speaker 1>so otherwise again upside down. So when you press the

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<v Speaker 1>button to capture an image, the shutter, the shutter release exactly,

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<v Speaker 1>the shutter, the shutter moves out of the way. Instead

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<v Speaker 1>of the light hitting that mirror and going up to

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<v Speaker 1>the prism and inverting the light hits either film in

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<v Speaker 1>a film camera or an image sensor in a digital camera.

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<v Speaker 1>So really the shutter just moves out of the way

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<v Speaker 1>and then the light hits the sensor and then you're

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<v Speaker 1>good to go. It's a little different with the digital

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<v Speaker 1>cameras that are out right now, but that's in general

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<v Speaker 1>how the process works. The basics. Yeah, now, and with

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<v Speaker 1>cameras now, light maybe hitting the sensor constantly, and the

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<v Speaker 1>shutter itself is not a physical shutter. It's just the

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<v Speaker 1>way that the sensory captures data. And we'll talk about

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<v Speaker 1>that when we get to that point. There are two

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<v Speaker 1>different major types of shutters that we can talk about.

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<v Speaker 1>So that's the general process. Now, with film, it's a

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<v Speaker 1>chemical process. Light hits the film and then some chemical

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<v Speaker 1>reactions take place, and that's what allows you to capture

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<v Speaker 1>an image. Right. With image sensors, it's not chemical, it's electrical. Right,

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<v Speaker 1>you're converting light energy into an electronic signal, yes, which

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<v Speaker 1>then you're gonna want to store to some medium. Yes, uh,

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<v Speaker 1>you know, typically some kind of flash memory device, depending

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<v Speaker 1>on on what kind of camera you have. You know,

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<v Speaker 1>there were some I think that that stored on CD,

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<v Speaker 1>so you know, your mileage may vary, but in general,

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<v Speaker 1>some sort of flash device on on today's cameras. Yeah,

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<v Speaker 1>the old digital camcorders could record on on different kinds

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<v Speaker 1>of media and so, and digital camcorders are working under

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<v Speaker 1>the same general principles as digital still cameras, with some

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<v Speaker 1>you know, other differences, but we'll talk about that. Like

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<v Speaker 1>I said, so now we get into the differences between

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<v Speaker 1>the two major types of sensors, the charge coupled device

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<v Speaker 1>and the complementary metal oxide semiconductor. So we're just gonna

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<v Speaker 1>go do cc D and CMOS from here on out,

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<v Speaker 1>I think, otherwise I'm just going to have tongue twisters

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<v Speaker 1>for the rest of the podcast. Yes, well, I just

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<v Speaker 1>wanted to make sure that people knew what it what

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<v Speaker 1>it stood for, obviously very important. So in in a

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<v Speaker 1>CCD sensor, every single pixel now, pixel, remember, is a

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<v Speaker 1>point of light. An image is made up of pixels,

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<v Speaker 1>millions of pixels. That's where the megapixel comes from. Right,

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<v Speaker 1>So a twelve megapixel camera is going to take twelve

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<v Speaker 1>megapixels worth of pixels and within the dimensions of that image,

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<v Speaker 1>whereas an eight megapixel camera will use fewer pixels for

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<v Speaker 1>that same size. Right. But and that's where our idea

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<v Speaker 1>about resolution comes in. Sometimes you hear people talk about

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<v Speaker 1>a low resolution image, it may be that it's got

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<v Speaker 1>fewer pixels in that image so that you can actually

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<v Speaker 1>start seeing if if the pixels are large enough and

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<v Speaker 1>few enough, you can start seeing the borders from one

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<v Speaker 1>pixel to the next. It's not very smooth, it's almost jagged. Well, yeah,

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<v Speaker 1>I mean that this is the benefit of having a

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<v Speaker 1>high megapixel camera. If you shoot it high quality, then

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<v Speaker 1>you are capturing more more pixels for a specific region

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<v Speaker 1>of the image, and you can you can render that

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<v Speaker 1>photo in a larger format. Um because when you shrink,

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<v Speaker 1>when you when you compress the size of a photo

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<v Speaker 1>and reduce it in size um, the computer is able to,

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<v Speaker 1>you know, throw out unnecessary information and that the image

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<v Speaker 1>still is pretty good looking. When you try to increase

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<v Speaker 1>the size, the computer has to sort of guess on

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<v Speaker 1>you know, pixel by pixel basis. Well, I mean, this

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<v Speaker 1>color is sort of a brown color. It looks like

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<v Speaker 1>I could throw something else in here similar. And that's

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<v Speaker 1>why when you increase the size of a photo, a

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<v Speaker 1>digital photo, that it starts to look kind of jaggedy

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<v Speaker 1>and rough because the computer is having to guess at

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<v Speaker 1>what that information is. So if you take a ten

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<v Speaker 1>megapixel photo and shrink it down, it's it's gonna look

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<v Speaker 1>pretty good. But if you try to take a two

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<v Speaker 1>megapixel photo and blow it up, it's not gonna be

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<v Speaker 1>so pretty. Yeah. If you think about it like a puzzle,

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<v Speaker 1>Let's say that you have a puzzle that has four

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<v Speaker 1>pieces to it, well, then you're gonna be able to

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<v Speaker 1>see the division of those those four pieces very clearly.

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<v Speaker 1>If it has four million pieces, then it's each of

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<v Speaker 1>those pieces are individually much tinier than those for giant ones.

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<v Speaker 1>And so the other issue is that the larger you

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<v Speaker 1>blow something up, if it's if it doesn't have enough

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<v Speaker 1>mega pixels in it, not megapixels, but enough pixels, then

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<v Speaker 1>you're gonna start to notice. But that being said, uh,

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<v Speaker 1>the general digital cameras that are out there for the

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<v Speaker 1>consumer market and the general way the consumers use digital cameras,

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<v Speaker 1>megapixels really don't matter because most of us are not

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<v Speaker 1>blowing images up to poster size. Most of us are

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<v Speaker 1>using them for online photo albums. We might print a

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<v Speaker 1>few out, but usually eight by ten tends to be

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<v Speaker 1>about the largest because most people don't have printers capable

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<v Speaker 1>of printing at a larger size, take it to somebody

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<v Speaker 1>to have it printed. It's kind of expensive, so a poster.

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<v Speaker 1>Most of us don't do that, So most of us

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<v Speaker 1>don't need to worry about megapixels at this point. Professional photographers,

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<v Speaker 1>it's a different story. So cc D sensor each of

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<v Speaker 1>those pixels has a charge. The photons that are coming

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<v Speaker 1>in and hitting that image sensor are being transferred from

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<v Speaker 1>from a light inner g from photons into electrons. Now UH,

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<v Speaker 1>they have UH there's an output node with a c

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<v Speaker 1>c D sensor where that is converted into voltage. It's

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<v Speaker 1>buffered and then sent to a different part of the

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<v Speaker 1>camera so that it will become an analog signal. So

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<v Speaker 1>a c c D sensor it's a very it's a

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<v Speaker 1>very UH specific device that doesn't it doesn't have a

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<v Speaker 1>lot of other functionality to it apart from the fact

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<v Speaker 1>that it's taking in light and converting it into voltage. UH.

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<v Speaker 1>Now the pixel is completely devoted to capturing light and

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<v Speaker 1>it has a very uniform output. So the that's that's

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<v Speaker 1>sort of where the the idea of CCD being high

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<v Speaker 1>quality came from. UH. It was very good at capturing

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<v Speaker 1>the true essence of whatever it is you're pointing your

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<v Speaker 1>camera at. You don't have to have you don't have

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<v Speaker 1>to worry about low lighting effects that kind of stuff,

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<v Speaker 1>or or having uh an image turn out too grainy

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<v Speaker 1>if the light is too low, which can happen with

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<v Speaker 1>CMOS images, particularly from a few years ago. It's a

0:13:16.080 --> 0:13:19.640
<v Speaker 1>depending on where you know where the manufacturer for your

0:13:19.679 --> 0:13:24.240
<v Speaker 1>camera got the c m O S sensor. Uh, you

0:13:24.320 --> 0:13:27.840
<v Speaker 1>might not have as big an issue taking low lighting

0:13:28.040 --> 0:13:31.200
<v Speaker 1>up images. But if you've ever used a digital camera

0:13:31.640 --> 0:13:33.640
<v Speaker 1>in a you know, either a dark or just a

0:13:33.720 --> 0:13:37.200
<v Speaker 1>dem environment, and you look like this just doesn't look good. Now,

0:13:37.240 --> 0:13:39.240
<v Speaker 1>when I take a photo outside in the middle of

0:13:39.240 --> 0:13:45.400
<v Speaker 1>the daytime, it looks gorgeous, beautiful colors, very very distinct um.

0:13:45.480 --> 0:13:48.400
<v Speaker 1>That's part of the problem is that the CMOS sensor

0:13:48.559 --> 0:13:51.680
<v Speaker 1>captures it in a different way. In that case, every

0:13:51.679 --> 0:13:56.600
<v Speaker 1>single pixel has its own charge to voltage conversion. The

0:13:56.640 --> 0:13:58.880
<v Speaker 1>c c D it's doing all of the pixels at once,

0:13:59.240 --> 0:14:02.920
<v Speaker 1>and c m OS it's doing each pixel individually. And

0:14:03.000 --> 0:14:07.480
<v Speaker 1>then the sensor itself has other elements added to it

0:14:08.000 --> 0:14:10.760
<v Speaker 1>that the c c D sensor does not have. Remember

0:14:10.800 --> 0:14:14.359
<v Speaker 1>we said c c D kind of offloads the information

0:14:14.400 --> 0:14:20.200
<v Speaker 1>once it's been converted into electrical impulses to other chips, right, Well,

0:14:20.240 --> 0:14:24.040
<v Speaker 1>those elements are actually on a CMO S sensor. So

0:14:24.080 --> 0:14:28.400
<v Speaker 1>it's got amplifiers, it's got digitization circuits, so it's actually

0:14:28.440 --> 0:14:32.840
<v Speaker 1>converting the electricity into bits on the sensor itself. It's

0:14:32.840 --> 0:14:38.120
<v Speaker 1>got noise reduction capabilities. And so that means that it

0:14:38.120 --> 0:14:41.600
<v Speaker 1>actually speeds up the process and it decreases the amount

0:14:41.600 --> 0:14:44.240
<v Speaker 1>of space you need within a camera because all of

0:14:44.240 --> 0:14:46.520
<v Speaker 1>those elements are found on a single chip as opposed

0:14:46.560 --> 0:14:54.920
<v Speaker 1>to having dedicated chips for these these specific functions. Unfortunately,

0:14:55.040 --> 0:14:57.440
<v Speaker 1>also reduces the amount of space it has for image

0:14:57.440 --> 0:15:00.480
<v Speaker 1>capture because all that stuff is on the same chip. Yes,

0:15:00.520 --> 0:15:03.200
<v Speaker 1>so that that you know, that's a downside of it, Yes,

0:15:03.600 --> 0:15:07.520
<v Speaker 1>so you that was one of the arguments again early on,

0:15:07.680 --> 0:15:12.920
<v Speaker 1>was that c c D cameras could take sharper photos

0:15:13.000 --> 0:15:16.920
<v Speaker 1>than CMOS cameras, and that you know, it's almost there

0:15:16.960 --> 0:15:20.960
<v Speaker 1>was also an expense issue, right, c c D image

0:15:20.960 --> 0:15:26.440
<v Speaker 1>sensors tend to be more expensive than c MS ones CMOS.

0:15:26.600 --> 0:15:31.480
<v Speaker 1>The process of manufacturer got so efficient that the price

0:15:31.520 --> 0:15:34.200
<v Speaker 1>started to come down, and that that's why those are

0:15:34.240 --> 0:15:37.640
<v Speaker 1>the sort of image sensors that you find in things

0:15:37.680 --> 0:15:41.400
<v Speaker 1>like smartphones. You know, smartphones that have cameras tend to

0:15:41.440 --> 0:15:44.400
<v Speaker 1>have CMOS sensors in them. They take up less space,

0:15:44.440 --> 0:15:47.160
<v Speaker 1>they put out less heat, they take less energy to

0:15:47.320 --> 0:15:51.360
<v Speaker 1>run um and they're very fast. So those are all

0:15:51.400 --> 0:15:54.400
<v Speaker 1>the qualities that people who are having a who wants

0:15:54.440 --> 0:15:57.120
<v Speaker 1>something in a nice slim form factor or if that's

0:15:57.200 --> 0:16:01.880
<v Speaker 1>what's important to them. So yeah, CCDC image sensor might

0:16:01.920 --> 0:16:06.920
<v Speaker 1>take a sharper quality photo in certain situations, but it's

0:16:06.960 --> 0:16:09.680
<v Speaker 1>also going to require a larger form factor, and it

0:16:09.720 --> 0:16:13.480
<v Speaker 1>does take more energy to run, and that that energy

0:16:13.600 --> 0:16:16.840
<v Speaker 1>is going to also mean more heat because as we know,

0:16:16.960 --> 0:16:19.720
<v Speaker 1>as electricity runs through a circuit, one of the by

0:16:19.800 --> 0:16:22.680
<v Speaker 1>products is heat. We haven't figured out a way to

0:16:22.720 --> 0:16:25.480
<v Speaker 1>get around that yet. It's just one of those one

0:16:25.480 --> 0:16:30.239
<v Speaker 1>of those realities that it's uh um. Basically it's inefficient

0:16:30.360 --> 0:16:32.320
<v Speaker 1>enough where some of the energy is being converted to

0:16:32.360 --> 0:16:35.760
<v Speaker 1>heat energy instead of you know, what it is intended for.

0:16:37.600 --> 0:16:41.720
<v Speaker 1>So so now we've got down to the the idea

0:16:41.840 --> 0:16:46.560
<v Speaker 1>of these two different image sensors capturing uh information in

0:16:47.040 --> 0:16:52.320
<v Speaker 1>different ways um, and the fact that over time both

0:16:52.480 --> 0:16:56.440
<v Speaker 1>both types of sensors have developed to the point where

0:16:56.480 --> 0:16:59.840
<v Speaker 1>the differences between the two, apart from the fundamental difference

0:16:59.840 --> 0:17:05.320
<v Speaker 1>of how they collect information, have started to to diminish. Right,

0:17:05.440 --> 0:17:08.640
<v Speaker 1>so that you can find some professional cameras out there

0:17:08.680 --> 0:17:12.480
<v Speaker 1>now that you CMOS image sensors, whereas you know, a

0:17:12.520 --> 0:17:15.760
<v Speaker 1>few years ago that was really unheard of, and you

0:17:15.760 --> 0:17:20.960
<v Speaker 1>can also find some consumer cameras, especially in the cam

0:17:21.040 --> 0:17:24.800
<v Speaker 1>Quorter realm, that are using cc D image sensors, which

0:17:24.840 --> 0:17:27.400
<v Speaker 1>again for a while you just didn't hear about because

0:17:27.480 --> 0:17:30.320
<v Speaker 1>c c D cameras were so expensive. It was pretty

0:17:30.400 --> 0:17:35.560
<v Speaker 1>much reserved for professionals, you know, just consumers just didn't

0:17:35.600 --> 0:17:37.760
<v Speaker 1>necessarily have the money to drop on something like that

0:17:37.880 --> 0:17:43.240
<v Speaker 1>unless they were you know, one per centers. So yeah,

0:17:43.280 --> 0:17:47.160
<v Speaker 1>it's it's it's it's still a developing thing and we're

0:17:47.200 --> 0:17:50.399
<v Speaker 1>still seeing that kind of level out. But that and

0:17:50.440 --> 0:17:53.480
<v Speaker 1>the two technologies do still exist. They coexist, so it's

0:17:53.480 --> 0:17:56.879
<v Speaker 1>not like one has been abandoned on top of in

0:17:56.920 --> 0:17:59.880
<v Speaker 1>favor of the other, although that tends to their bit,

0:18:00.040 --> 0:18:04.359
<v Speaker 1>there's usually someone predicting that every few years. Well sure sure,

0:18:04.840 --> 0:18:06.640
<v Speaker 1>um yeah. A lot of the research that I did

0:18:06.640 --> 0:18:10.240
<v Speaker 1>for the podcast was from Teleedian Do also which makes

0:18:10.440 --> 0:18:12.600
<v Speaker 1>which makes both types of sensors, and they had some

0:18:12.680 --> 0:18:18.120
<v Speaker 1>really interesting, uh comparative white papers and other information if

0:18:18.119 --> 0:18:20.520
<v Speaker 1>you're interested in getting into the depths of it. It

0:18:20.600 --> 0:18:24.160
<v Speaker 1>got some of it got fairly complicated, um, but basically

0:18:24.200 --> 0:18:28.040
<v Speaker 1>they had one paper that said that they're the image

0:18:28.080 --> 0:18:34.960
<v Speaker 1>sensors can be measured on basically eight different characteristics UM.

0:18:35.119 --> 0:18:39.040
<v Speaker 1>And these were responsivity, you know, basically how responsive that

0:18:39.200 --> 0:18:47.359
<v Speaker 1>the sensor is. Uh, it's dynamic range, uniformity, shuttering, UM, speed, windowing,

0:18:47.760 --> 0:18:51.359
<v Speaker 1>and anti blooming UM. And you know, again this is

0:18:51.400 --> 0:18:55.240
<v Speaker 1>kind of you know complex, but the the UH, it's

0:18:55.280 --> 0:18:59.320
<v Speaker 1>kind of funny because the way that the image sensor

0:18:59.720 --> 0:19:03.280
<v Speaker 1>cap information UM, you know, depending on the type that

0:19:03.320 --> 0:19:08.200
<v Speaker 1>you're talking about, they're not really uh, it's really application specific.

0:19:08.680 --> 0:19:11.400
<v Speaker 1>UM some of them. Some of them really don't have

0:19:11.760 --> 0:19:15.400
<v Speaker 1>that much difference over the others. Like, for example, UM,

0:19:15.600 --> 0:19:19.800
<v Speaker 1>CMOS chips are known to be a little bit more responsive. UM.

0:19:19.840 --> 0:19:22.840
<v Speaker 1>But c c D s are have an advantage in

0:19:22.920 --> 0:19:25.879
<v Speaker 1>dynamic range. But basically they didn't say, you know, the

0:19:26.280 --> 0:19:29.280
<v Speaker 1>this one chip is better than the others. They said

0:19:29.280 --> 0:19:31.720
<v Speaker 1>it has more to do with the manufacturing capability and

0:19:31.720 --> 0:19:33.960
<v Speaker 1>whether the chip has done right and is used in

0:19:34.000 --> 0:19:37.240
<v Speaker 1>their correct setting than it does UM, you know, for

0:19:37.359 --> 0:19:40.560
<v Speaker 1>a particular type of technology. Right. And you were mentioned

0:19:40.680 --> 0:19:44.240
<v Speaker 1>mentioning the fact that there are different shutters. In general,

0:19:44.560 --> 0:19:50.200
<v Speaker 1>a CMOS image sensor uses a rolling shutter. UH. There's

0:19:50.200 --> 0:19:52.480
<v Speaker 1>nothing saying that it couldn't use the same sort of

0:19:52.480 --> 0:19:55.879
<v Speaker 1>shutter that sc D image sensor does, which is a

0:19:55.920 --> 0:19:58.959
<v Speaker 1>global shutter. There's nothing saying that it couldn't. It's just

0:19:59.040 --> 0:20:03.919
<v Speaker 1>that all the camcorders I looked at specifically because this

0:20:04.000 --> 0:20:07.760
<v Speaker 1>really plays more into video than than uh, still photography.

0:20:07.760 --> 0:20:12.080
<v Speaker 1>Although there's some crossover between the two. Um it said

0:20:12.080 --> 0:20:14.960
<v Speaker 1>that you could have a CMOS with a global shutter.

0:20:15.000 --> 0:20:17.800
<v Speaker 1>It's just that you don't find those so once they're

0:20:17.840 --> 0:20:20.440
<v Speaker 1>between the global shutter and a rolling shutter, well, a

0:20:20.560 --> 0:20:23.840
<v Speaker 1>rolling shutter to me, when I the first I read

0:20:23.840 --> 0:20:26.560
<v Speaker 1>about this, the first thing I thought about was, UM

0:20:27.080 --> 0:20:31.439
<v Speaker 1>a copier or a scanner where the image sensor you

0:20:31.480 --> 0:20:35.000
<v Speaker 1>put the document on the on the screen, you close

0:20:35.080 --> 0:20:38.280
<v Speaker 1>the UM the top the lid, and you tell it

0:20:38.320 --> 0:20:39.560
<v Speaker 1>to go ahead and make a copy or make a

0:20:39.600 --> 0:20:42.159
<v Speaker 1>scan of it, and the image sensor travels down the

0:20:42.240 --> 0:20:44.359
<v Speaker 1>length of the document from the top to the bottom

0:20:44.440 --> 0:20:48.240
<v Speaker 1>or you know however exactly and and it is going

0:20:48.640 --> 0:20:51.359
<v Speaker 1>you know, from it's starting at a specific point and

0:20:51.480 --> 0:20:54.800
<v Speaker 1>capturing the entire document as it travels the length of it.

0:20:54.880 --> 0:20:58.119
<v Speaker 1>And uh, you know, because it's going essentially line by

0:20:58.200 --> 0:21:00.560
<v Speaker 1>line if you think about that. In pixel tern is

0:21:00.600 --> 0:21:02.359
<v Speaker 1>taking a row of pixels and then another row of

0:21:02.400 --> 0:21:04.800
<v Speaker 1>pixels and then you know, as it goes down right. Yeah,

0:21:04.800 --> 0:21:07.840
<v Speaker 1>I was thinking of it sort of the way television works. Yes,

0:21:07.880 --> 0:21:12.040
<v Speaker 1>where it'll it'll you have a line by line from

0:21:12.080 --> 0:21:16.960
<v Speaker 1>the top to the bottom. Um will ignore the interpalation part,

0:21:17.440 --> 0:21:20.160
<v Speaker 1>otherwise we have to get really complicated. But anyway, the

0:21:20.400 --> 0:21:23.120
<v Speaker 1>image is painted essentially on your screen from the top

0:21:23.160 --> 0:21:25.119
<v Speaker 1>to the bottom at a rate that's so fast that

0:21:25.200 --> 0:21:27.040
<v Speaker 1>your eye does not detect that. It looks like it's

0:21:27.040 --> 0:21:30.680
<v Speaker 1>all simultaneously projected to you, but it's actually done line

0:21:30.680 --> 0:21:32.080
<v Speaker 1>by line from the top of the screen to the

0:21:32.080 --> 0:21:34.320
<v Speaker 1>bottom of the screen. Same thing with a rolling shutter.

0:21:34.720 --> 0:21:38.160
<v Speaker 1>So when you take a photo or you're using a camcorder.

0:21:38.240 --> 0:21:41.680
<v Speaker 1>Let's stick with camcorders. So if you're using a camcorder

0:21:41.680 --> 0:21:44.760
<v Speaker 1>that has a rolling shutter type of image sensors, we're

0:21:45.000 --> 0:21:49.359
<v Speaker 1>talking cmos. Uh, the the images being recorded from the

0:21:49.400 --> 0:21:53.280
<v Speaker 1>top to the bottom over and over and over again. Okay,

0:21:53.320 --> 0:21:57.399
<v Speaker 1>so uh with a cc D camera, it's a global shutter,

0:21:57.440 --> 0:22:00.560
<v Speaker 1>which means that it's capturing all that data all at once. Yes,

0:22:00.800 --> 0:22:03.680
<v Speaker 1>sort of like film would. Yeah, so it's not it's

0:22:03.680 --> 0:22:07.000
<v Speaker 1>not um, you know, it's not something that's gonna be scrolling.

0:22:07.040 --> 0:22:09.520
<v Speaker 1>It's all one image. So this means that the two

0:22:09.560 --> 0:22:13.920
<v Speaker 1>different types of image sensors are also prone to two

0:22:13.960 --> 0:22:19.280
<v Speaker 1>different kinds of flaws that can happen when you're using them. Well,

0:22:19.320 --> 0:22:21.840
<v Speaker 1>of course, I mean that's that's like any other types

0:22:21.880 --> 0:22:24.800
<v Speaker 1>of technology. Not everything is suited for every use, right,

0:22:25.160 --> 0:22:28.439
<v Speaker 1>So let's say that let's i'll talk about the different

0:22:28.440 --> 0:22:31.400
<v Speaker 1>flaws that you can find. C c D essentially has

0:22:31.720 --> 0:22:35.600
<v Speaker 1>one type of flaw that you can encounter, which is

0:22:35.640 --> 0:22:41.840
<v Speaker 1>called the smear effect. So smearing is let's say that

0:22:41.880 --> 0:22:45.440
<v Speaker 1>you've got a a you're taking an image of something

0:22:45.440 --> 0:22:49.520
<v Speaker 1>that has a bright light in it. Um Smearing is

0:22:49.560 --> 0:22:55.200
<v Speaker 1>this effect where you sort of see the light. You'll

0:22:55.240 --> 0:22:57.880
<v Speaker 1>see like a projection of light above and below it,

0:22:58.200 --> 0:23:00.960
<v Speaker 1>or you know it's that's that's why it's called smears.

0:23:01.040 --> 0:23:04.560
<v Speaker 1>It's been extended beyond just a source of light itself.

0:23:05.359 --> 0:23:08.240
<v Speaker 1>It's kind of like a halo effect, though usually it's

0:23:08.280 --> 0:23:11.679
<v Speaker 1>more of at least in the samples I've looked at,

0:23:11.760 --> 0:23:14.159
<v Speaker 1>it's more of a vertical thing where it looks like

0:23:14.160 --> 0:23:16.920
<v Speaker 1>it's almost like a ray of light that goes straight

0:23:17.000 --> 0:23:20.679
<v Speaker 1>up and down the the the screen from the source.

0:23:21.600 --> 0:23:25.520
<v Speaker 1>So that's one of the things that c c D

0:23:25.760 --> 0:23:31.560
<v Speaker 1>image sensors can fall victim to, but not CMOS. And

0:23:31.680 --> 0:23:35.480
<v Speaker 1>it's all because that global shutter exposes that image, the

0:23:35.880 --> 0:23:41.600
<v Speaker 1>whole image simultaneously, and it's all gathering that light. And

0:23:41.920 --> 0:23:47.679
<v Speaker 1>once the predetermined shutter speed for that global shutter has elapsed,

0:23:47.920 --> 0:23:52.080
<v Speaker 1>it stops gathering light, turns that that entire exposure into

0:23:52.160 --> 0:23:57.320
<v Speaker 1>an electronic image, and then starts again. And the rolling

0:23:57.320 --> 0:24:01.720
<v Speaker 1>shutter just doesn't have that aim effects, so the smear

0:24:01.800 --> 0:24:06.800
<v Speaker 1>does not happen with that, and it's you know, it's

0:24:06.880 --> 0:24:11.359
<v Speaker 1>very noticeable. If you see the the effects of this,

0:24:11.480 --> 0:24:15.320
<v Speaker 1>you'd think, oh, well, that's unfortunate that there's this weird

0:24:15.880 --> 0:24:20.040
<v Speaker 1>shaft of light right there in the middle of the frame. Well,

0:24:20.440 --> 0:24:23.000
<v Speaker 1>that's that's it for the c c D. Okay, that's

0:24:23.000 --> 0:24:27.639
<v Speaker 1>the that's the one flaw that's c c D image

0:24:27.640 --> 0:24:32.000
<v Speaker 1>sensors can can fall victim to. But they're the one

0:24:32.080 --> 0:24:34.960
<v Speaker 1>known thing that people complain the one thing that people

0:24:34.960 --> 0:24:38.640
<v Speaker 1>complain about. There are three three different ones for CMOS.

0:24:39.920 --> 0:24:44.000
<v Speaker 1>The first is called skew Okay, So you've got this

0:24:44.280 --> 0:24:47.320
<v Speaker 1>rolling shutter and it's going from top to bottom as

0:24:47.359 --> 0:24:51.240
<v Speaker 1>it's recording images. Now, the shutter is going off u

0:24:51.960 --> 0:24:55.320
<v Speaker 1>multiple times per second. But let's say that you are

0:24:55.600 --> 0:24:59.639
<v Speaker 1>panning the camera very very quickly from one side to

0:24:59.680 --> 0:25:02.640
<v Speaker 1>another there, so you're changing the view. Well, you're having

0:25:02.640 --> 0:25:06.240
<v Speaker 1>a rolling shutter and you're panting the camera. This can

0:25:06.320 --> 0:25:09.760
<v Speaker 1>cause the idea of skew. So let's say that you

0:25:09.800 --> 0:25:13.160
<v Speaker 1>have something that's, uh, that's significant, a big thing that's

0:25:13.160 --> 0:25:15.359
<v Speaker 1>in the frame of the photo, maybe maybe like a tower.

0:25:16.200 --> 0:25:19.359
<v Speaker 1>All right, so you've got a tower in the frame

0:25:19.440 --> 0:25:23.200
<v Speaker 1>of your image, and you quickly pan from left to right. Well,

0:25:23.240 --> 0:25:26.040
<v Speaker 1>as you're panning, that shutter is rolling, and if your

0:25:26.080 --> 0:25:29.120
<v Speaker 1>pan is fast enough, then the shutter is actually going

0:25:29.160 --> 0:25:32.960
<v Speaker 1>to start building an image where the pixels at the

0:25:33.000 --> 0:25:36.520
<v Speaker 1>top of the image are further on one side than

0:25:36.560 --> 0:25:38.679
<v Speaker 1>the pixels that are at the bottom of that image,

0:25:39.840 --> 0:25:43.399
<v Speaker 1>because it's not capturing all that data simultaneously. The outcome

0:25:43.520 --> 0:25:47.200
<v Speaker 1>of that is that you get a skewed image when

0:25:47.320 --> 0:25:50.560
<v Speaker 1>the output image itself is skewed. So that tower, which

0:25:50.640 --> 0:25:53.360
<v Speaker 1>might be perfectly straight when you look at it, when

0:25:53.359 --> 0:25:56.320
<v Speaker 1>you start looking back at the video and you're playing

0:25:56.320 --> 0:25:58.879
<v Speaker 1>it back really slowly, it's only it looks like it's

0:25:59.320 --> 0:26:02.280
<v Speaker 1>leaning or it's diagonal. It's like that. You know, it's

0:26:02.320 --> 0:26:05.800
<v Speaker 1>suddenly not it's not true anymore. Now I understand what's

0:26:05.800 --> 0:26:09.440
<v Speaker 1>wrong with all those vacation pictures I took in pizza. Yeah, exactly,

0:26:09.480 --> 0:26:12.760
<v Speaker 1>that's the that's it. You know, it's no, it's not

0:26:12.840 --> 0:26:16.320
<v Speaker 1>it at all. But anyway, that's that effect is because

0:26:16.440 --> 0:26:18.960
<v Speaker 1>of that rolling shutter, you know. And again, a global

0:26:19.000 --> 0:26:21.000
<v Speaker 1>shutter would not have that problem because it's taking all

0:26:21.000 --> 0:26:23.600
<v Speaker 1>that image, you know, it's taking all the information all

0:26:23.640 --> 0:26:26.320
<v Speaker 1>at once. The rolling shutter is taking it bit by

0:26:26.400 --> 0:26:29.000
<v Speaker 1>you know, line by line. And again it's only if

0:26:29.000 --> 0:26:32.439
<v Speaker 1>you're panning very quickly, because it's this is going so

0:26:32.480 --> 0:26:34.880
<v Speaker 1>many times per second that if you're doing a nice

0:26:34.880 --> 0:26:40.280
<v Speaker 1>slow pan, it's it's not noticeable. Also, you're more likely

0:26:40.359 --> 0:26:44.720
<v Speaker 1>to prevent the kind of nausea that's associated with the

0:26:44.720 --> 0:26:47.520
<v Speaker 1>the quick panning of Yeah, we'll get to there's a

0:26:48.160 --> 0:26:53.320
<v Speaker 1>human advantage to that too. Next is the wobble. Yes,

0:26:53.640 --> 0:26:58.440
<v Speaker 1>so you don't have this problem. No, This is wobble

0:26:58.640 --> 0:27:01.439
<v Speaker 1>is when you get sort of a weird, stretchy or

0:27:01.560 --> 0:27:04.520
<v Speaker 1>rubbery look to stuff that's going on in the video,

0:27:05.040 --> 0:27:08.560
<v Speaker 1>and it tends to happen with handheld footage, right because

0:27:08.600 --> 0:27:10.600
<v Speaker 1>you're when you're holding the camera, you don't have that

0:27:10.720 --> 0:27:13.640
<v Speaker 1>steady base that you would if you're using a tripod.

0:27:13.760 --> 0:27:17.560
<v Speaker 1>So let's say like a found footage film. The sure

0:27:17.600 --> 0:27:20.760
<v Speaker 1>becoming more and more popular these days, so something like

0:27:20.800 --> 0:27:24.240
<v Speaker 1>all Onlines of Blair Witch or clover Field or or

0:27:24.280 --> 0:27:29.120
<v Speaker 1>one of those movies or or or vhs made by

0:27:29.200 --> 0:27:34.240
<v Speaker 1>friends of mine. Check it out. It just it just

0:27:34.320 --> 0:27:38.399
<v Speaker 1>premiered over at Sundance. Um, that's a shout out to

0:27:38.440 --> 0:27:41.600
<v Speaker 1>my buddies anyway, So same sort of thing. It's it's

0:27:41.600 --> 0:27:44.359
<v Speaker 1>because of that rolling shutter, the information is being captured

0:27:44.359 --> 0:27:47.600
<v Speaker 1>line by line. If your camera is not steady then

0:27:48.320 --> 0:27:50.160
<v Speaker 1>and if it's moving around quite a bit and at

0:27:50.160 --> 0:27:54.840
<v Speaker 1>a fairly fast pace, then it's the The images are

0:27:54.880 --> 0:27:58.919
<v Speaker 1>not going to be uh, they're not gonna be clear.

0:27:59.160 --> 0:28:02.439
<v Speaker 1>They're gonna end up having this wobbly, stretchy look. So

0:28:02.560 --> 0:28:06.000
<v Speaker 1>let's say you're panning uh down, so you've got you

0:28:06.000 --> 0:28:08.240
<v Speaker 1>you maybe you've got your looking at the top of

0:28:08.280 --> 0:28:12.439
<v Speaker 1>that tower, and you start panning down very very quickly

0:28:12.480 --> 0:28:17.360
<v Speaker 1>to say, simulate a fall. So we're panting down very

0:28:17.440 --> 0:28:21.000
<v Speaker 1>very quickly. That rolling shutter is going up from the

0:28:21.040 --> 0:28:25.480
<v Speaker 1>top to the bottom very quickly. As you are going down,

0:28:25.760 --> 0:28:28.960
<v Speaker 1>the shutter is going to UH. If you're matching the

0:28:28.960 --> 0:28:31.720
<v Speaker 1>shutter speed or getting close to the shutter speed, it's

0:28:31.720 --> 0:28:34.200
<v Speaker 1>going to make that building stretch out, it's gonna look

0:28:34.280 --> 0:28:38.560
<v Speaker 1>very odd. Um. And so that's another one of those issues.

0:28:39.080 --> 0:28:41.880
<v Speaker 1>And again the global shutter doesn't have that problem because

0:28:41.920 --> 0:28:47.080
<v Speaker 1>it's not it's not capturing information the same way. UH.

0:28:47.200 --> 0:28:53.120
<v Speaker 1>And then finally there's partial exposure. Partial exposure happens when

0:28:54.280 --> 0:28:58.080
<v Speaker 1>light is hitting the shutter or the the image sensor

0:28:58.120 --> 0:29:00.880
<v Speaker 1>at a very particular moment, and and the light is

0:29:00.960 --> 0:29:04.360
<v Speaker 1>hitting it just fast enough so that when the rolling

0:29:04.360 --> 0:29:08.160
<v Speaker 1>shutter starts, the light's not there. But before the rolling

0:29:08.160 --> 0:29:12.680
<v Speaker 1>shutter has finished, it's it's a journey across the image sensor.

0:29:13.040 --> 0:29:15.320
<v Speaker 1>The light has coming gone, which means that part of

0:29:15.320 --> 0:29:17.720
<v Speaker 1>your image is going to be much brighter than the

0:29:17.720 --> 0:29:20.520
<v Speaker 1>rest of your image. So if you think about your

0:29:20.520 --> 0:29:23.320
<v Speaker 1>image as UH, let's say you're taking a picture of,

0:29:23.400 --> 0:29:25.920
<v Speaker 1>say a poster, all right, you gotta you're looking at

0:29:25.920 --> 0:29:29.160
<v Speaker 1>a poster and there's a flash that goes off as

0:29:29.200 --> 0:29:31.720
<v Speaker 1>you are taking your image, and the flash is moving

0:29:32.040 --> 0:29:34.040
<v Speaker 1>at a speed. It's a very quick flash moving. It's

0:29:34.080 --> 0:29:38.200
<v Speaker 1>moving at speed that's faster than the rolling shutter is.

0:29:39.440 --> 0:29:41.480
<v Speaker 1>When you actually look at that picture, when you're looking

0:29:41.480 --> 0:29:43.240
<v Speaker 1>at the poster in the back, it's gonna look like

0:29:43.240 --> 0:29:46.479
<v Speaker 1>there's this one band of the poster that's much more

0:29:46.560 --> 0:29:49.600
<v Speaker 1>brightly lit than the rest of the poster, and that's

0:29:49.600 --> 0:29:52.440
<v Speaker 1>going to be the moment when that flash hit the

0:29:52.480 --> 0:29:56.040
<v Speaker 1>image sensor as the rolling shutter was going down the sensor.

0:29:57.640 --> 0:30:00.120
<v Speaker 1>So this is another issue you have to work with

0:30:00.160 --> 0:30:03.880
<v Speaker 1>your lighting in order to avoid it. And uh, you

0:30:03.920 --> 0:30:07.000
<v Speaker 1>know it can if you're using a flash that's a

0:30:07.080 --> 0:30:09.800
<v Speaker 1>longer based flash, you don't have to worry as much.

0:30:10.200 --> 0:30:13.320
<v Speaker 1>This is why partially why anyway part of it because

0:30:13.360 --> 0:30:16.640
<v Speaker 1>it's most of the the smartphone flashes or l E

0:30:16.720 --> 0:30:19.920
<v Speaker 1>D s, But it's also part of why if you

0:30:20.000 --> 0:30:22.480
<v Speaker 1>ever take a photo with a smartphone that uses an

0:30:22.560 --> 0:30:27.120
<v Speaker 1>LED flash, it tends to last a while. It's because

0:30:27.160 --> 0:30:29.160
<v Speaker 1>if it didn't, then your all your images would come

0:30:29.200 --> 0:30:33.040
<v Speaker 1>out with this weird banding issue. And you don't want

0:30:33.080 --> 0:30:36.600
<v Speaker 1>bands in your in your pictures unless you're at a concert.

0:30:37.680 --> 0:30:40.600
<v Speaker 1>I'll be taking some tonight, awesome, I'm gonna go see

0:30:40.640 --> 0:30:44.200
<v Speaker 1>they might be giants and that's a shoutout today, might

0:30:44.200 --> 0:30:48.760
<v Speaker 1>be giant. Everyone's getting shoutouts today. Apparently it's free plug

0:30:48.880 --> 0:30:51.640
<v Speaker 1>day on tech stuff. Well, you know a lot of

0:30:51.640 --> 0:30:54.160
<v Speaker 1>stuff on tech stuff requires a plug. Yes, it's true.

0:30:54.600 --> 0:30:59.480
<v Speaker 1>Not everything is better reoperated. So yeah, the the c

0:30:59.640 --> 0:31:02.880
<v Speaker 1>c D is only prone to the smear issue, whereas

0:31:02.880 --> 0:31:07.120
<v Speaker 1>CMOS has those other three now have a decent camera

0:31:07.200 --> 0:31:09.719
<v Speaker 1>you shouldn't have, you know, and O are taking precautions.

0:31:09.760 --> 0:31:11.960
<v Speaker 1>You just have to worry about it exactly. Yeah, if

0:31:12.040 --> 0:31:13.800
<v Speaker 1>you if you know what you're doing, you can get

0:31:13.840 --> 0:31:16.680
<v Speaker 1>around these problems. It's just that these are the ones

0:31:16.760 --> 0:31:19.520
<v Speaker 1>that are the cameras are prone to based upon the

0:31:19.560 --> 0:31:23.000
<v Speaker 1>technology they use. So it's not that every single image

0:31:23.000 --> 0:31:27.480
<v Speaker 1>you're gonna take, or even even like a significant percentage

0:31:27.480 --> 0:31:31.240
<v Speaker 1>of the images you'll take will have problems associated with

0:31:31.280 --> 0:31:34.080
<v Speaker 1>these issues that I've talked about, but some of them might.

0:31:34.760 --> 0:31:38.360
<v Speaker 1>And the reason why they they have those is because

0:31:38.360 --> 0:31:41.080
<v Speaker 1>of the technology itself. And again, you know, you just

0:31:42.080 --> 0:31:44.720
<v Speaker 1>little basic tricks that you can do, you know, just

0:31:45.120 --> 0:31:48.440
<v Speaker 1>for example, using a tripod whenever you can helps a lot,

0:31:49.320 --> 0:31:51.719
<v Speaker 1>it'll it'll really remove a lot of this also, you know,

0:31:51.800 --> 0:31:55.160
<v Speaker 1>most of most people aren't running around and jerking the

0:31:55.200 --> 0:31:58.360
<v Speaker 1>camera left and right so fast that these are really

0:31:58.520 --> 0:32:03.680
<v Speaker 1>coming into play. Uh And if you're using Instagram, really,

0:32:03.720 --> 0:32:06.160
<v Speaker 1>you've made your image look so crappy already you don't

0:32:06.160 --> 0:32:11.360
<v Speaker 1>need to worry about these effects. Nice, that's that's just

0:32:11.400 --> 0:32:19.360
<v Speaker 1>a joke. Mostly my wife uses Instagram a lot. What

0:32:19.480 --> 0:32:22.480
<v Speaker 1>a lovely old tiny photo of the Space Shuttle. I'm

0:32:22.520 --> 0:32:26.760
<v Speaker 1>so glad anyway. Uh so, yeah, I mean, so which

0:32:27.240 --> 0:32:31.120
<v Speaker 1>which is better? Really kind of it really does depend

0:32:31.160 --> 0:32:34.800
<v Speaker 1>on what kind of photography you're going to be doing. Um,

0:32:34.840 --> 0:32:37.360
<v Speaker 1>you know, probably the biggest difference is whether you're doing

0:32:37.400 --> 0:32:41.160
<v Speaker 1>still photography or or video. And most of the time

0:32:41.160 --> 0:32:44.320
<v Speaker 1>when you're shopping for cameras, the type of sensor that's

0:32:44.360 --> 0:32:47.600
<v Speaker 1>in it is not necessarily the easiest information for you

0:32:47.640 --> 0:32:50.680
<v Speaker 1>to find out, although it does pay to to look

0:32:50.680 --> 0:32:53.000
<v Speaker 1>into that if you can, and and actually do some

0:32:53.040 --> 0:32:56.120
<v Speaker 1>research on the sensor itself, because like we said, the

0:32:56.160 --> 0:32:59.160
<v Speaker 1>sensor and the lens of the camera is going to

0:32:59.200 --> 0:33:01.320
<v Speaker 1>have a lot more to do with the quality of

0:33:01.320 --> 0:33:04.320
<v Speaker 1>the images that you get using that camera then how

0:33:04.320 --> 0:33:07.440
<v Speaker 1>many megapixels it has. So even if you go out

0:33:07.440 --> 0:33:09.400
<v Speaker 1>there and you buy a twelve megapixel camera and your

0:33:09.440 --> 0:33:12.720
<v Speaker 1>buddy has an eight megapixel camera, your buddy's images maybe

0:33:13.320 --> 0:33:16.719
<v Speaker 1>may look sharper and more vibrant than yours. Again, not

0:33:16.840 --> 0:33:19.040
<v Speaker 1>to do with the megapixels. It's more about the lens

0:33:19.080 --> 0:33:22.680
<v Speaker 1>and the sensory And of course, if you're you're planning

0:33:22.680 --> 0:33:25.160
<v Speaker 1>on dropping a lot of coin on a new camera,

0:33:26.040 --> 0:33:28.360
<v Speaker 1>probably would be a good idea if you read some

0:33:28.440 --> 0:33:32.640
<v Speaker 1>reviews from professionals to give you an idea of what

0:33:32.720 --> 0:33:35.040
<v Speaker 1>to expect and to see if if other people are

0:33:35.120 --> 0:33:38.160
<v Speaker 1>using it the same way, you will be um to

0:33:38.280 --> 0:33:40.560
<v Speaker 1>get to really get an idea of how you know

0:33:40.560 --> 0:33:42.720
<v Speaker 1>whether it's going to suit your needs, and that's the

0:33:42.720 --> 0:33:47.320
<v Speaker 1>most important thing. Very good, yes, good advice from Mr Pallette.

0:33:47.680 --> 0:33:49.840
<v Speaker 1>I think we should probably wrap this up because our

0:33:49.880 --> 0:33:53.160
<v Speaker 1>our guest producer, Liz is out there and she's a

0:33:53.200 --> 0:33:56.640
<v Speaker 1>photographer and she's probably about ready to explode with all

0:33:56.680 --> 0:34:00.400
<v Speaker 1>the information we've given and say, well, actually she hasn't

0:34:00.400 --> 0:34:02.720
<v Speaker 1>screamed it us yet, No I know, but I've seen

0:34:02.760 --> 0:34:05.560
<v Speaker 1>like a couple of things fly at us through the curtains,

0:34:05.560 --> 0:34:08.399
<v Speaker 1>so she's just not Luckily, she throws like a girl,

0:34:08.920 --> 0:34:13.399
<v Speaker 1>so I'm just kidding. I'm just kidding. Actually she could

0:34:13.440 --> 0:34:17.360
<v Speaker 1>probably be me. I'm hearing noises now. I take that back.

0:34:18.640 --> 0:34:22.360
<v Speaker 1>Girls throw really hard, which is harder than I can anyway,

0:34:22.640 --> 0:34:25.480
<v Speaker 1>So let's wrap this up while I shoved my foot

0:34:25.520 --> 0:34:28.400
<v Speaker 1>further into my mouth. If you guys have any comments

0:34:28.520 --> 0:34:31.040
<v Speaker 1>or questions or suggestions for us, you can let us

0:34:31.080 --> 0:34:33.719
<v Speaker 1>know on Facebook or Twitter. Are handled. There is tech

0:34:33.760 --> 0:34:36.640
<v Speaker 1>Stuff h s W or send us an email. Our

0:34:36.680 --> 0:34:40.040
<v Speaker 1>andress is tech Stuff at Discovery dot com and Chris

0:34:40.080 --> 0:34:44.600
<v Speaker 1>and I will talk to you again really soon. Be

0:34:44.680 --> 0:34:47.279
<v Speaker 1>sure to check out our new video podcast, Stuff from

0:34:47.320 --> 0:34:50.160
<v Speaker 1>the Future. Join house Stuff Work staff as we explore

0:34:50.200 --> 0:34:54.839
<v Speaker 1>the most promising and perplexing possibilities of tomorrow. The House

0:34:54.840 --> 0:34:57.640
<v Speaker 1>Stuff Works iPhone app has arrived down at it today

0:34:57.880 --> 0:35:04.960
<v Speaker 1>on iTunes, brought to you by the reinvented two thousand

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<v Speaker 1>twelve camera. It's ready, are you