WEBVTT - TechStuff Classic: How Image Sensors Work

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<v Speaker 1>Get in touch with technology with tech Stuff from how

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<v Speaker 1>stuff works dot com. Hey there, and welcome to tech Stuff.

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<v Speaker 1>I'm your host Jonathan Strickland. I'm an executive producer with

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<v Speaker 1>how Stuff Works in I heart radio and I love

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<v Speaker 1>all things tech, and today we're going to take a

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<v Speaker 1>close look at how image sensors work in a classic

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<v Speaker 1>episode of tech Stuff. This episode originally published on February

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<v Speaker 1>twenty nine, two thousand twelve. It is called how Image

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<v Speaker 1>Sensors Work, and we're talking about the various sensors that

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<v Speaker 1>you would find in digital cameras. So I hope that

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<v Speaker 1>you enjoy this classic episode as Chris Palette and I

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<v Speaker 1>tackle this topic. So today we thought we would look

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<v Speaker 1>at something. Actually it was Chris's suggestion that we look

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<v Speaker 1>into this particular topic, which was the the topic of

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<v Speaker 1>image sensors and what they do and what the two

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<v Speaker 1>main types of image sensors, how they are different from

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<v Speaker 1>one another, and uh and I thought it was a

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<v Speaker 1>great idea. It's also a fairly complex topic. We do

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<v Speaker 1>have an article on how stuff works dot com that says,

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<v Speaker 1>what is the difference between c c D and CMO

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<v Speaker 1>s image sensors in a digital camera? And that's really

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<v Speaker 1>what we're gonna be talking about here. Um. So that

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<v Speaker 1>there is an article on the site, and that's a

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<v Speaker 1>nice short article if you want a quick overview, but

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<v Speaker 1>we're gonna go into some detail a little bit in

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<v Speaker 1>this podcast. And really the first thing you need to

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<v Speaker 1>know is that an image sensor is it's taking the

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<v Speaker 1>place of film, right, Yes, that's correct, Yeah, a long

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<v Speaker 1>and a long time ago in a galaxy that happens

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<v Speaker 1>to be right here where we're sitting. We did a

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<v Speaker 1>podcast on the megapixel myth um. I think a lot

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<v Speaker 1>of people equate uh, numbers with a way we have

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<v Speaker 1>with quality and they say, oh, well, I've got a

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<v Speaker 1>twelve megapixel camera that's obviously better than that six megapixel

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<v Speaker 1>camera I used to own. Well, it depends on what

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<v Speaker 1>you're doing with the photo. It also depends on again

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<v Speaker 1>the other qualities of that camera, right, and image sensors

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<v Speaker 1>have a lot more to do with the quality of

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<v Speaker 1>the photo. But in a way it really depends because

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<v Speaker 1>again this uh there, there's this this idea that there

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<v Speaker 1>are two different kinds, which kind is better? It depends

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<v Speaker 1>on what you're doing with that what are you taking

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<v Speaker 1>photos of? Um? And Uh, As it turns out they're

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<v Speaker 1>they're not really better than one another. Inherently, they're they're

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<v Speaker 1>better than one another for specific applications of the photographic technology,

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<v Speaker 1>and the quality of the two sensors is constantly getting

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<v Speaker 1>closer and closer, so that the things that one sensor

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<v Speaker 1>does better than the other start to become less distinct

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<v Speaker 1>over time because the technology is improving on both sides simultaneously. Uh. Now,

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<v Speaker 1>if we were to go back a little bit to

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<v Speaker 1>the early days of digital cameras, the distinction was was clear.

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<v Speaker 1>You know, you would say that, well, a professional photographer

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<v Speaker 1>would more likely have a cc D image sensor in

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<v Speaker 1>his or her camera. CCD meaning charge coupled device, charge

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<v Speaker 1>coupled device, that's that's one of the two types. And

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<v Speaker 1>someone who has say a relatively inexpensive of course, back

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<v Speaker 1>in the early day of digital cameras, that was definitely

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<v Speaker 1>relative eight billion dollars, only a thousand dollars, yes, princely

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<v Speaker 1>going back to that a thousand dollars as opposed to

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<v Speaker 1>say eight thousand dollars. But a person holding one of

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<v Speaker 1>those cameras might have a CMOS or a complementary metal

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<v Speaker 1>ox side semiconductor image sensor. Yes, they come up and say,

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<v Speaker 1>that's a wonderful shirt you're wearing today. That's that's such

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<v Speaker 1>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 spare everybody because

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<v Speaker 1>we've already said the punch line. Anyway, these are the

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<v Speaker 1>two different sensors, and they do go about capturing data

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<v Speaker 1>a different way. Let's let's go into the basic way

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<v Speaker 1>a camera captures an image. I'm going to talk about

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<v Speaker 1>still camera here, so we're talking about cameras in general,

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<v Speaker 1>not necessarily film, more digital. Right, So, in general, what

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<v Speaker 1>happens is you've got a camera and you're pointing it

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<v Speaker 1>at something that you want to take a photo of.

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<v Speaker 1>Light is coming towards you. It's reflecting off of the

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<v Speaker 1>the subject of your photo. If light we're not reflecting

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<v Speaker 1>off the subject of your photo, it would either mean

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<v Speaker 1>you were in total darkness, in which case taking a

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<v Speaker 1>photo is not very helpful, or you're taking a picture

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<v Speaker 1>of a black hole because not even light can escape it.

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<v Speaker 1>That being said, they're actually looking at making a physical

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<v Speaker 1>picture of a black hole. Using radio telescopes, which is

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<v Speaker 1>so cool. That's the tangent. Anyway, so light is coming

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<v Speaker 1>from the subject a little bit is awesome. We should

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<v Speaker 1>do a full podcast us on that. But anyway, lights

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<v Speaker 1>coming from from the subject toward the camera and uh,

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<v Speaker 1>and the light passes through the lens. The purpose of

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<v Speaker 1>the lens is to focus that light toward a specific

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<v Speaker 1>point within the camera. It moves through the aperture, which

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<v Speaker 1>is the opening behind the lens that allows light to

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<v Speaker 1>pass through. There's a shutter that's there behind the aperture

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<v Speaker 1>which actually directs the light up towards the view finder.

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<v Speaker 1>For the old style cameras, you know, the ones that

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<v Speaker 1>don't have the you know, you're not looking at a

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<v Speaker 1>screen on the back, you're looking actually through a view finder. Well,

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<v Speaker 1>that light gets directed up by a mirror and that's

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<v Speaker 1>essentially attached to the shutter that makes the light go

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<v Speaker 1>up inside the camera. Then it hits a prism which

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<v Speaker 1>inverts the light. Because you may not know this, but

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<v Speaker 1>the light the image that's coming in. That's saying the

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<v Speaker 1>sensor is actually upside down from our perspective. Gasp. So

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<v Speaker 1>if you didn't have that prism there, the subject you're

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<v Speaker 1>looking at would be upside down. It would be like

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<v Speaker 1>everything you're making photos of was in Australia. That 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 the that's the way. If you're wondering why there's

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<v Speaker 1>all these giant car factories in Australia, it's not. It's

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<v Speaker 1>just because you didn't have that prism in there, right, Um, Okay,

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<v Speaker 1>that's a terrible joke, but no, the prism does invert

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<v Speaker 1>the light, so otherwise again upside down. So when you

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<v Speaker 1>press the button to capture an image, the shutter, the shutter,

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<v Speaker 1>the shutter release exactly, the shutter, the shutter moves out

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<v Speaker 1>of the way and instead of the light hitting that

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<v Speaker 1>mirror and going up to the prism and inverting, the

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<v Speaker 1>light hits either film in a film camera or an

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<v Speaker 1>image sensor in a digital camera. So really the shutter

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<v Speaker 1>just moves out of the way and then the light

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<v Speaker 1>hits the sensor and then you're good to go. It's

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<v Speaker 1>a little different with the digital cameras that are out

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<v Speaker 1>right now, but that's in general how the process works basics. Yeah, now,

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<v Speaker 1>and with cameras now, light maybe hitting the sensor constantly,

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<v Speaker 1>and the shutter itself is not a physical shutter. It's

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<v Speaker 1>just the way that the sensory captures data. And we'll

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<v Speaker 1>talk about that when we get to that point. There

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<v Speaker 1>are two different major types of shutters that we can

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<v Speaker 1>talk about. So that's the general process. Now, with film,

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<v Speaker 1>it's a chemical process. Light hits the film and then

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<v Speaker 1>some chemical reactions take place, and that's what allows you

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<v Speaker 1>to capture an image. Right. With image sensors, it's not chemical,

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<v Speaker 1>it's electrical. Right, you're converting light energy into an electronic signal. Yes,

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<v Speaker 1>and 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 onto day'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>c c D sensor, every single pixel now, pixel, remember,

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<v Speaker 1>is a point of light. An image is made up

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<v Speaker 1>of pixels, 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>mega pixels worth of pixels and within the dimensions of

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<v Speaker 1>that image, whereas an eight megapixel camera will use fewer

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<v Speaker 1>pixels for that same size. Right. But and that's where

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<v Speaker 1>our idea about resolution comes in. Sometimes you hear people

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<v Speaker 1>talk about a low resolution image, it may be that

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<v Speaker 1>it's got fewer pixels in that image so that you

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<v Speaker 1>can actually start seeing if if the pixels are large

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<v Speaker 1>enough and few enough, you can start seeing the borders

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<v Speaker 1>from one pixel to the next. It's not very smooth,

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<v Speaker 1>it's almost jagged. Well, yeah, I mean that this is

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<v Speaker 1>the benefit of having a high megapixel camera. If you

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<v Speaker 1>shoot it high quality, then you are capturing more more

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<v Speaker 1>pixels for a specific region of the image, and you

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<v Speaker 1>can you can render that photo in a larger format.

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<v Speaker 1>Um because when you shrink, when you when you compress

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<v Speaker 1>the size of photo and reduce it in size um,

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<v Speaker 1>the compute it or is able to you know, throw

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<v Speaker 1>out unnecessary information and that the image still is pretty

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<v Speaker 1>good looking. When you try to increase the size, the

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<v Speaker 1>computer has to sort of guess on you know, pixel

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<v Speaker 1>by pixel basis. Well, I mean, this color is sort

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<v Speaker 1>of a brown color. It looks like I could throw

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<v Speaker 1>something else in here similar. And that's why when you

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<v Speaker 1>increase the size of a photo, a digital photo, that

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<v Speaker 1>it starts to look kind of jaggedy and rough because

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<v Speaker 1>the computer is having to guess at what that information is.

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<v Speaker 1>So if you take a ten megapixel photo and shrink

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<v Speaker 1>it down, it's it's gonna look pretty good. But if

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<v Speaker 1>you try to take a two megapixel photo and blow

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<v Speaker 1>it up, it's not gonna be so pretty. Yeah, if

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<v Speaker 1>you think about it like a puzzle, Let's say that

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<v Speaker 1>you have a puzzle that has four pieces to it, well,

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<v Speaker 1>then you're gonna be able to see the division of

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<v Speaker 1>those those four pieces very clearly. If it has four

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<v Speaker 1>million pieces, then it's each of those pieces are individually

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<v Speaker 1>much tinier than those four giant ones. That's the air

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<v Speaker 1>issue is that the larger you blow something up, if

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<v Speaker 1>it's if it doesn't have enough mega pixels in it,

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<v Speaker 1>not megapixels, but enough pixels, then you're gonna start to notice.

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<v Speaker 1>But that being said, the general digital cameras that are

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<v Speaker 1>out there for the consumer market and the general way

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<v Speaker 1>the consumers use digital cameras, megapixels really don't matter because

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<v Speaker 1>most of us are not blowing images up to poster size.

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<v Speaker 1>Most of us are using them for online photo albums.

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<v Speaker 1>We might print a few out, but usually eight by

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<v Speaker 1>ten tends to be about the largest because most people

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<v Speaker 1>don't have printers capable of printing at a larger size,

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<v Speaker 1>and when you take it to somebody to have it printed,

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<v Speaker 1>it's kind of expensive, so a poster. Most of us

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<v Speaker 1>don't do that, so most of us don't need to

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<v Speaker 1>worry about megapixels at this point. Professional photographers, it's a

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<v Speaker 1>different story. So cc D sensor, each of those pixels

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<v Speaker 1>has a charge. The photons that are coming in and

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<v Speaker 1>hitting that image sensor are being transferred from from a

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<v Speaker 1>light energy from photons into electrons. Now UH, they have

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<v Speaker 1>UH there's an output node with a c c D

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<v Speaker 1>sensor where that is converted into voltage. It's buffered and

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<v Speaker 1>then sent to a different part of the camera so

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<v Speaker 1>that it will become an analog signal. So a CCD

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<v Speaker 1>sensor it's a very it's a very UH specific device

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<v Speaker 1>that doesn't it doesn't have a lot of other functionality

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<v Speaker 1>to it apart from the fact that it's taking in

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<v Speaker 1>light and converting it into voltage. UH. Now the pixel

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<v Speaker 1>is completely devoted to capturing light and it has a

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<v Speaker 1>very uniform output. So the that's that's sort of where

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<v Speaker 1>the the idea of CCD being high quality came from. UH.

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<v Speaker 1>It was very good at capturing the true essence of

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<v Speaker 1>whatever it is you're pointing your camera at. You don't

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<v Speaker 1>have to have a you don't have to worry about

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<v Speaker 1>low lighting effects that kind of stuff, or having uh

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<v Speaker 1>an image turn out too grainy if the light is

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<v Speaker 1>too low, which can happen with CMOS images, particularly from

0:13:10.720 --> 0:13:15.319
<v Speaker 1>a few years ago. It's a depending on where you

0:13:15.720 --> 0:13:18.360
<v Speaker 1>know where the manufacturer for your camera got the c

0:13:18.559 --> 0:13:23.319
<v Speaker 1>m O S sensor. Uh, you might not have as

0:13:23.360 --> 0:13:27.240
<v Speaker 1>big an issue taking low lighting uh images. But if

0:13:27.280 --> 0:13:30.520
<v Speaker 1>you've ever used a digital camera in a know, either

0:13:30.600 --> 0:13:33.079
<v Speaker 1>a dark or just a dem environment, and you look

0:13:33.080 --> 0:13:35.120
<v Speaker 1>at me like, this just doesn't look good. Now, when

0:13:35.160 --> 0:13:37.520
<v Speaker 1>I take a photo outside in the middle of the daytime,

0:13:37.559 --> 0:13:43.520
<v Speaker 1>it looks gorgeous, beautiful colors, very very distinct. Um. That's

0:13:43.760 --> 0:13:46.720
<v Speaker 1>part of the problem is that the CMOS sensor captures

0:13:46.720 --> 0:13:49.760
<v Speaker 1>it in a different way. In that case, every single

0:13:49.880 --> 0:13:54.480
<v Speaker 1>pixel has its own charge to voltage conversion. The c

0:13:54.600 --> 0:13:56.640
<v Speaker 1>c D, it's doing all of the pixels at once.

0:13:56.960 --> 0:14:01.839
<v Speaker 1>In CMOS, it's doing each pixel individually. And then the

0:14:01.880 --> 0:14:06.240
<v Speaker 1>sensor itself has other elements added to it that the

0:14:06.320 --> 0:14:08.840
<v Speaker 1>c c D sensor does not have. Remember we said

0:14:08.880 --> 0:14:12.520
<v Speaker 1>c c D kind of offloads the information once it's

0:14:12.520 --> 0:14:17.960
<v Speaker 1>been converted into electrical impulses to other chips, right, Well,

0:14:17.960 --> 0:14:21.760
<v Speaker 1>those elements are actually on a CMO S sensor. So

0:14:21.800 --> 0:14:26.120
<v Speaker 1>it's got amplifiers, it's got digitization circuits, so it's actually

0:14:26.160 --> 0:14:30.560
<v Speaker 1>converting the electricity into bits. On the sensor itself, it's

0:14:30.600 --> 0:14:35.840
<v Speaker 1>got noise reduction capabilities, and so that means that it

0:14:35.880 --> 0:14:39.320
<v Speaker 1>actually speeds up the process and it decreases the amount

0:14:39.360 --> 0:14:41.960
<v Speaker 1>of space you need within a camera because all of

0:14:42.000 --> 0:14:44.240
<v Speaker 1>those elements are found on a single chip as opposed

0:14:44.280 --> 0:14:52.720
<v Speaker 1>to having dedicated chips for these these specific functions. Unfortunately,

0:14:52.760 --> 0:14:55.200
<v Speaker 1>also reduces the amount of space it has for image

0:14:55.200 --> 0:14:58.200
<v Speaker 1>capture because all that stuff is on the same chip. Yes,

0:14:58.280 --> 0:15:01.640
<v Speaker 1>so that that you know, that's a downside, yes, so

0:15:02.080 --> 0:15:05.280
<v Speaker 1>you that was one of the arguments again early on,

0:15:05.440 --> 0:15:10.680
<v Speaker 1>was that c c D cameras could take sharper photos

0:15:10.720 --> 0:15:14.640
<v Speaker 1>than CMOS cameras, and that you know, it's almost there

0:15:14.720 --> 0:15:18.680
<v Speaker 1>was also an expense issue, right, c c D image

0:15:18.720 --> 0:15:24.200
<v Speaker 1>sensors tend to be more expensive than CMOS ones CMOS.

0:15:24.320 --> 0:15:29.200
<v Speaker 1>The process of manufacturer got so efficient that the price

0:15:29.240 --> 0:15:31.960
<v Speaker 1>started to come down, and that that's why those are

0:15:31.960 --> 0:15:35.360
<v Speaker 1>the sort of image sensors that you find in things

0:15:35.400 --> 0:15:39.160
<v Speaker 1>like smartphones. You know, smartphones that have cameras tend to

0:15:39.160 --> 0:15:42.120
<v Speaker 1>have CMOS sensors in them. They take up less space,

0:15:42.160 --> 0:15:44.920
<v Speaker 1>they put out less heat, they take less energy to

0:15:45.040 --> 0:15:49.120
<v Speaker 1>run um and they're very fast. So those are all

0:15:49.120 --> 0:15:52.160
<v Speaker 1>the qualities that people who are having a who wants

0:15:52.160 --> 0:15:54.880
<v Speaker 1>something in a nice slim form factor or if that's

0:15:54.920 --> 0:15:58.480
<v Speaker 1>what's important to them. So yeah, C C D S

0:15:58.640 --> 0:16:03.640
<v Speaker 1>image sensor might take a sharper quality photo in certain situations,

0:16:04.320 --> 0:16:07.080
<v Speaker 1>but it's also going to require a larger form factor,

0:16:07.160 --> 0:16:10.640
<v Speaker 1>and it does take more energy to run, and that

0:16:10.640 --> 0:16:14.040
<v Speaker 1>that energy is going to also mean more heat. Yes,

0:16:14.200 --> 0:16:17.040
<v Speaker 1>as we know, as electricity runs through a circuit, one

0:16:17.080 --> 0:16:20.040
<v Speaker 1>of the by products is heat. We haven't figured out

0:16:20.040 --> 0:16:22.520
<v Speaker 1>a way to get around that yet. It's just one

0:16:22.560 --> 0:16:27.240
<v Speaker 1>of those one of those realities that it's uh um. Basically,

0:16:27.240 --> 0:16:29.520
<v Speaker 1>it's inefficient enough where some of the energy is being

0:16:29.560 --> 0:16:32.440
<v Speaker 1>converted to heat energy instead of you know what it

0:16:32.640 --> 0:16:35.480
<v Speaker 1>is intended for. Right, Chris and I have a little

0:16:35.480 --> 0:16:37.800
<v Speaker 1>bit more to say about image sensors, but before we

0:16:37.840 --> 0:16:40.000
<v Speaker 1>get to that, let's take a quick break to thank

0:16:40.000 --> 0:16:51.720
<v Speaker 1>our sponsor. So, so now we've got down to the

0:16:51.720 --> 0:16:56.400
<v Speaker 1>the idea of these two different image sensors capturing uh

0:16:56.480 --> 0:17:01.520
<v Speaker 1>information in different ways um, and the fact that over

0:17:01.600 --> 0:17:06.560
<v Speaker 1>time both both types of sensors have developed to the

0:17:06.560 --> 0:17:09.480
<v Speaker 1>point where the differences between the two, apart from the

0:17:09.480 --> 0:17:14.160
<v Speaker 1>fundamental difference about how they collect information, have started to

0:17:14.160 --> 0:17:18.600
<v Speaker 1>to diminish. Right, So that you can find some professional

0:17:18.640 --> 0:17:22.680
<v Speaker 1>cameras out there now that you CMOS image sensors, whereas

0:17:22.760 --> 0:17:25.639
<v Speaker 1>you know, a few years ago that was really unheard of.

0:17:26.240 --> 0:17:31.359
<v Speaker 1>And you can also find some consumer cameras, especially in

0:17:31.359 --> 0:17:35.280
<v Speaker 1>the cam Quorter realm, that are using cc D image sensors,

0:17:35.320 --> 0:17:37.880
<v Speaker 1>which again for a while you just didn't hear about

0:17:37.880 --> 0:17:40.760
<v Speaker 1>because c c D cameras were so expensive. It was

0:17:40.760 --> 0:17:46.000
<v Speaker 1>pretty much reserved for professionals, you know, just consumers just

0:17:46.040 --> 0:17:48.399
<v Speaker 1>didn't necessarily have the money to drop on something like

0:17:48.440 --> 0:17:54.000
<v Speaker 1>that unless they were you know, one per centers. So yeah,

0:17:54.000 --> 0:17:57.920
<v Speaker 1>it's it's it's it's still a developing thing and we're

0:17:57.920 --> 0:18:01.119
<v Speaker 1>still seeing that kind of level out. But that and

0:18:01.160 --> 0:18:04.200
<v Speaker 1>the two technologies do still exist. They coexist, so it's

0:18:04.200 --> 0:18:07.600
<v Speaker 1>not like one has been abandoned on top of in

0:18:07.680 --> 0:18:10.960
<v Speaker 1>favor of the other, although that tends to there there's

0:18:11.000 --> 0:18:15.199
<v Speaker 1>usually someone predicting that every few years. Well sure, sure,

0:18:15.600 --> 0:18:17.360
<v Speaker 1>um yeah. A lot of the research that I did

0:18:17.359 --> 0:18:21.400
<v Speaker 1>for the podcast was from Teleedne Dolsa, which makes which

0:18:21.440 --> 0:18:24.480
<v Speaker 1>makes both types of sensors, and they had some really interesting,

0:18:25.040 --> 0:18:29.399
<v Speaker 1>uh comparative white papers and other information. If you're interested

0:18:29.400 --> 0:18:31.720
<v Speaker 1>in getting into the depths of it, it got some

0:18:31.800 --> 0:18:35.239
<v Speaker 1>of it got fairly complicated. UM. But basically they they

0:18:35.280 --> 0:18:38.800
<v Speaker 1>had one paper they said that they're, uh that image

0:18:38.800 --> 0:18:45.440
<v Speaker 1>sensors can be measured on basically eight different characteristics UM.

0:18:45.840 --> 0:18:49.800
<v Speaker 1>And these were responsivity, you know, basically how responsive that

0:18:49.920 --> 0:18:58.119
<v Speaker 1>the sensor is. Uh, it's dynamic range, uniformity, shuttering, UM, speed, windowing,

0:18:58.480 --> 0:19:02.080
<v Speaker 1>and anti blooming UM. And you know, again this is

0:19:02.160 --> 0:19:05.960
<v Speaker 1>kind of you know complex, but the the uh, it's

0:19:06.000 --> 0:19:10.360
<v Speaker 1>kind of funny because the way that the image sensor

0:19:10.480 --> 0:19:14.040
<v Speaker 1>captures information. UM. You know, depending on the type that

0:19:14.040 --> 0:19:18.920
<v Speaker 1>you're talking about, they're not really uh, it's really application specific.

0:19:19.400 --> 0:19:22.160
<v Speaker 1>UM some of them. Some of them really don't have

0:19:22.480 --> 0:19:26.119
<v Speaker 1>that much difference over the others. Like, for example, UM,

0:19:26.320 --> 0:19:30.520
<v Speaker 1>CMOS chips are known to be a little bit more responsive. UM.

0:19:30.560 --> 0:19:33.560
<v Speaker 1>But c c D s are have an advantage in

0:19:33.640 --> 0:19:36.639
<v Speaker 1>dynamic range. But basically they didn't say, you know, the

0:19:37.000 --> 0:19:40.000
<v Speaker 1>this one chip is better than the others. They said,

0:19:40.040 --> 0:19:42.440
<v Speaker 1>it has more to do with the manufacturing capability and

0:19:42.480 --> 0:19:44.720
<v Speaker 1>whether the chip has done right and is used in

0:19:44.720 --> 0:19:48.000
<v Speaker 1>their correct setting than it does UM, you know, for

0:19:48.119 --> 0:19:51.280
<v Speaker 1>a particular type of technology. Right, and you were mentioned

0:19:51.400 --> 0:19:54.960
<v Speaker 1>mentioning the fact that there are different shutters. In general,

0:19:55.280 --> 0:20:00.920
<v Speaker 1>a CMOS image sensor uses a rolling shutter. Uh, there's

0:20:00.920 --> 0:20:03.199
<v Speaker 1>nothing saying that it couldn't use the same sort of

0:20:03.200 --> 0:20:06.600
<v Speaker 1>shutter that SEC the image sensor does, which is a

0:20:06.640 --> 0:20:09.679
<v Speaker 1>global shutter. There's nothing saying that it couldn't. It's just

0:20:09.760 --> 0:20:14.600
<v Speaker 1>that all the camcorders I looked at specifically, because this

0:20:14.760 --> 0:20:18.480
<v Speaker 1>really plays more into video than than uh, still photography.

0:20:18.480 --> 0:20:22.800
<v Speaker 1>Although there's some crossover between the two. Um it said

0:20:22.840 --> 0:20:25.679
<v Speaker 1>that you could have a CMOS with a global shutter,

0:20:25.720 --> 0:20:28.399
<v Speaker 1>it's just that you don't find those. So what's the

0:20:28.600 --> 0:20:31.199
<v Speaker 1>between the global shutter and a rolling shutter? Well, a

0:20:31.280 --> 0:20:34.240
<v Speaker 1>rolling shutter to me. And when I the first I

0:20:34.359 --> 0:20:36.479
<v Speaker 1>read about this, the first thing I thought about was

0:20:37.800 --> 0:20:42.159
<v Speaker 1>a copier or a scanner where the image sensor you

0:20:42.200 --> 0:20:45.720
<v Speaker 1>put the document on the on the screen, you close

0:20:45.840 --> 0:20:48.880
<v Speaker 1>the UM the top of the lid, and you tell

0:20:48.920 --> 0:20:50.199
<v Speaker 1>it to go ahead and make a copy or make

0:20:50.200 --> 0:20:52.840
<v Speaker 1>a scan of it, and the image sensor travels down

0:20:52.840 --> 0:20:54.720
<v Speaker 1>the length of the document from the top to the

0:20:54.720 --> 0:20:59.480
<v Speaker 1>bottom or what exactly, and and it is going you

0:20:59.480 --> 0:21:02.119
<v Speaker 1>know from UM it's starting at a specific point and

0:21:02.200 --> 0:21:05.439
<v Speaker 1>capturing the entire document as it travels the length of

0:21:05.440 --> 0:21:08.720
<v Speaker 1>it and uh, you know, because it's going essentially line

0:21:08.720 --> 0:21:10.920
<v Speaker 1>by line. If you think about that in pixel terms,

0:21:11.240 --> 0:21:13.040
<v Speaker 1>is taking a row of pixels and then another row

0:21:13.040 --> 0:21:14.399
<v Speaker 1>of pixels and then a nighte you know, as it

0:21:14.440 --> 0:21:16.640
<v Speaker 1>goes down. Right, Yeah, I was thinking of it sort

0:21:16.640 --> 0:21:20.359
<v Speaker 1>of the way television works. Yes, where it'll it'll you

0:21:20.440 --> 0:21:24.159
<v Speaker 1>have a line by line from the top to the bottom.

0:21:24.280 --> 0:21:28.879
<v Speaker 1>Um will ignore the interpalation part, otherwise we have to

0:21:28.920 --> 0:21:32.720
<v Speaker 1>get really complicated. But anyway, the image is painted essentially

0:21:32.720 --> 0:21:34.640
<v Speaker 1>on your screen from the top to the bottom at

0:21:34.640 --> 0:21:36.600
<v Speaker 1>a rate that's so fast that your eye does not

0:21:36.680 --> 0:21:39.840
<v Speaker 1>detect that. It looks like it's all simultaneously projected to you,

0:21:40.320 --> 0:21:42.280
<v Speaker 1>but it's actually done line by line from the top

0:21:42.280 --> 0:21:43.760
<v Speaker 1>of the screen to the bottom of the screen. Same

0:21:43.800 --> 0:21:46.560
<v Speaker 1>thing with a rolling shutter. So when you take a

0:21:46.600 --> 0:21:50.199
<v Speaker 1>photo or you're using a camcorder, let's stick with cam quorters.

0:21:50.880 --> 0:21:53.080
<v Speaker 1>So if you're using a camcorder that has a rolling

0:21:53.119 --> 0:21:58.560
<v Speaker 1>shutter type of image sensor talking cmos, uh, the the

0:21:58.640 --> 0:22:01.880
<v Speaker 1>images being recorded from the top to the bottom over

0:22:01.920 --> 0:22:05.760
<v Speaker 1>and over and over again. Okay, so uh with a

0:22:05.840 --> 0:22:08.640
<v Speaker 1>c c D camera, it's a global shutter which means

0:22:08.680 --> 0:22:11.280
<v Speaker 1>that it's capturing all that data all at once, Yes,

0:22:11.560 --> 0:22:14.400
<v Speaker 1>sort of like film would. Yeah, so it's not it's

0:22:14.440 --> 0:22:17.720
<v Speaker 1>not um you know, it's not something that's gonna be scrolling.

0:22:17.760 --> 0:22:20.240
<v Speaker 1>It's all one image. So this means that the two

0:22:20.280 --> 0:22:24.600
<v Speaker 1>different types of image sensors are also prone to two

0:22:24.680 --> 0:22:30.040
<v Speaker 1>different kinds of flaws that can happen when you're using them. Well,

0:22:30.040 --> 0:22:32.560
<v Speaker 1>of course, I mean that's that's like any other types

0:22:32.600 --> 0:22:35.520
<v Speaker 1>of technology. Not everything is suited for every use, right,

0:22:35.920 --> 0:22:39.159
<v Speaker 1>So let's say that let's i'll talk about the different

0:22:39.200 --> 0:22:42.120
<v Speaker 1>flaws that you can find. C c D essentially has

0:22:42.440 --> 0:22:46.320
<v Speaker 1>one type of flaw that you can encounter, which is

0:22:46.359 --> 0:22:52.600
<v Speaker 1>called the smear effect. So smearing is let's say that

0:22:52.640 --> 0:22:56.160
<v Speaker 1>you've got a a you're taking an image of something

0:22:56.200 --> 0:23:00.240
<v Speaker 1>that has a bright light in it. Um Smearing is

0:23:00.280 --> 0:23:05.920
<v Speaker 1>this effect where you sort of see the light. You'll

0:23:05.960 --> 0:23:08.600
<v Speaker 1>see like a projection of light above and below it

0:23:08.960 --> 0:23:11.520
<v Speaker 1>or you know it's that's that's why it's called smear.

0:23:11.560 --> 0:23:15.240
<v Speaker 1>It's it's been extended beyond just a source of light itself.

0:23:16.119 --> 0:23:18.960
<v Speaker 1>It's kind of like a halo effect, though usually it's

0:23:19.000 --> 0:23:22.439
<v Speaker 1>more of at least in the samples. I've looked at.

0:23:22.480 --> 0:23:24.879
<v Speaker 1>It's more of a vertical thing where it looks like

0:23:24.920 --> 0:23:27.639
<v Speaker 1>it's almost like a ray of light that goes straight

0:23:27.720 --> 0:23:31.440
<v Speaker 1>up and down the the the screen from the source.

0:23:32.320 --> 0:23:35.840
<v Speaker 1>So that's one of the things that c c D

0:23:36.480 --> 0:23:42.280
<v Speaker 1>image sensors can fall victim to, but not CMOS. And

0:23:42.400 --> 0:23:46.200
<v Speaker 1>it's all because that global shutter exposes that image, the

0:23:46.640 --> 0:23:52.320
<v Speaker 1>whole image simultaneously, and it's all gathering that light, and

0:23:52.640 --> 0:23:58.439
<v Speaker 1>once the predetermined shutter speed for that global shutter has elapsed,

0:23:58.640 --> 0:24:02.800
<v Speaker 1>it stops gathering light, turns that that entire exposure into

0:24:02.880 --> 0:24:08.040
<v Speaker 1>an electronic image, and then starts again. And the rolling

0:24:08.040 --> 0:24:12.479
<v Speaker 1>shutter just doesn't have that same effects, so the smear

0:24:12.520 --> 0:24:17.520
<v Speaker 1>does not happen with that, and it's you know, it's

0:24:17.600 --> 0:24:22.080
<v Speaker 1>very noticeable. If you see the the effects of this,

0:24:22.160 --> 0:24:26.280
<v Speaker 1>you'd think, oh, well, that's unfortunate that there's this weird

0:24:26.600 --> 0:24:30.800
<v Speaker 1>shaft of light right there in the middle of the frame. Well,

0:24:31.160 --> 0:24:33.720
<v Speaker 1>that's that's it for the c c D. Okay, that's

0:24:33.760 --> 0:24:38.359
<v Speaker 1>the that's the one flaw that's c c D image

0:24:38.359 --> 0:24:42.720
<v Speaker 1>sensors can can fall victim to. But there's the one

0:24:42.840 --> 0:24:45.680
<v Speaker 1>known thing that people complain, the one thing that people

0:24:45.720 --> 0:24:49.400
<v Speaker 1>complain about. There are three three different ones for cmos.

0:24:50.640 --> 0:24:54.719
<v Speaker 1>The first is called skew. Okay, So you've got this

0:24:55.040 --> 0:24:58.080
<v Speaker 1>rolling shutter and it's going from top to bottom as

0:24:58.080 --> 0:25:01.960
<v Speaker 1>it's recording images. Now, this utter is going off u

0:25:02.680 --> 0:25:06.040
<v Speaker 1>multiple times per second. But let's say that you are

0:25:06.359 --> 0:25:10.800
<v Speaker 1>panning the camera very very quickly from one side to another,

0:25:10.840 --> 0:25:14.000
<v Speaker 1>so you're changing the view. Well, you're having a rolling

0:25:14.440 --> 0:25:17.919
<v Speaker 1>shutter and you're panning the camera. This can cause the

0:25:17.960 --> 0:25:21.119
<v Speaker 1>idea of skew. We have just a bit more information

0:25:21.240 --> 0:25:24.040
<v Speaker 1>to cover in this classic episode of tech stuff, but

0:25:24.040 --> 0:25:26.240
<v Speaker 1>before we get to that, let's take another quick break

0:25:26.359 --> 0:25:36.439
<v Speaker 1>to thank our sponsor. So let's say that you have

0:25:36.560 --> 0:25:39.720
<v Speaker 1>something that's uh, that's significant, a big thing that's in

0:25:39.760 --> 0:25:41.840
<v Speaker 1>the frame of the photo, maybe maybe like a tower.

0:25:42.720 --> 0:25:45.879
<v Speaker 1>All right, So you've got a tower in the frame

0:25:45.960 --> 0:25:49.680
<v Speaker 1>of your image, and you quickly pan from left to right. Well,

0:25:49.720 --> 0:25:52.560
<v Speaker 1>as you're panning, that shutter is rolling, and if your

0:25:52.560 --> 0:25:55.640
<v Speaker 1>pan is fast enough, then the shutter is actually going

0:25:55.680 --> 0:25:59.479
<v Speaker 1>to start building an image where the pixels at the

0:25:59.520 --> 0:26:03.040
<v Speaker 1>top of the image are further on one side than

0:26:03.080 --> 0:26:05.159
<v Speaker 1>the pixels that are at the bottom of that image.

0:26:06.359 --> 0:26:09.879
<v Speaker 1>Because it's not capturing all that data simultaneously. The outcome

0:26:10.040 --> 0:26:13.720
<v Speaker 1>of that is that you get a skewed image when

0:26:13.840 --> 0:26:17.080
<v Speaker 1>the output image itself is skewed. So that tower, which

0:26:17.160 --> 0:26:19.880
<v Speaker 1>might be perfectly straight when you look at it, when

0:26:19.880 --> 0:26:22.840
<v Speaker 1>you start looking back at the video and you're playing

0:26:22.840 --> 0:26:26.240
<v Speaker 1>it back really slowly, it suddenly looks like it's leaning

0:26:26.520 --> 0:26:29.240
<v Speaker 1>or it's diagonal. It's like that, you know, it's suddenly

0:26:29.280 --> 0:26:32.480
<v Speaker 1>not it's not true anymore. Now I understand what's wrong

0:26:32.520 --> 0:26:36.200
<v Speaker 1>with all those vacation pictures I took. Yeah, exactly, that's

0:26:36.240 --> 0:26:39.840
<v Speaker 1>the that's it. You know, it's no, it's not at all.

0:26:40.160 --> 0:26:44.080
<v Speaker 1>But anyway, that's that effect is because of that rolling shutter,

0:26:44.359 --> 0:26:46.240
<v Speaker 1>you know. And again a global shutter would not have

0:26:46.280 --> 0:26:48.639
<v Speaker 1>that problem because it's taking all that image, you know,

0:26:48.640 --> 0:26:51.560
<v Speaker 1>it's taking all the information all at once. The rolling

0:26:51.560 --> 0:26:54.040
<v Speaker 1>shutter is taking it bit by you know, line by line.

0:26:54.520 --> 0:26:57.399
<v Speaker 1>And again it's only if you're panning very quickly, because

0:26:57.560 --> 0:27:00.119
<v Speaker 1>it's this is going so many times per second that

0:27:00.440 --> 0:27:05.680
<v Speaker 1>if you're doing a nice slowe hand, it's it's not noticeable. Also,

0:27:05.760 --> 0:27:08.880
<v Speaker 1>you're more likely to prevent the kind of nausea that's

0:27:09.840 --> 0:27:13.560
<v Speaker 1>associated with the quick panning of Yeah, we'll get to

0:27:13.560 --> 0:27:19.840
<v Speaker 1>the human advantage to that too. Next is the wobble. Yes,

0:27:20.119 --> 0:27:24.960
<v Speaker 1>so you don't have this problem. No. This is wobble

0:27:25.119 --> 0:27:27.960
<v Speaker 1>is when you get sort of a weird, stretchy or

0:27:28.080 --> 0:27:31.000
<v Speaker 1>rubbery look to stuff that's going on in the video.

0:27:31.560 --> 0:27:35.080
<v Speaker 1>And it tends to happen with handheld footage, right because

0:27:35.119 --> 0:27:37.119
<v Speaker 1>you're when you're holding the camera, you don't have that

0:27:37.200 --> 0:27:40.160
<v Speaker 1>steady base that you would if you're using a tripod.

0:27:40.280 --> 0:27:44.439
<v Speaker 1>So let's say like a found footage film sure becoming

0:27:44.440 --> 0:27:47.480
<v Speaker 1>more and more popular these days, So something like all

0:27:47.520 --> 0:27:50.960
<v Speaker 1>onlines of Blair Witch or clover Field or or one

0:27:51.000 --> 0:27:56.080
<v Speaker 1>of those movies or or or vhs made by friends

0:27:56.119 --> 0:28:01.240
<v Speaker 1>of mine. Check it out. It's us. It just premiered

0:28:01.240 --> 0:28:05.040
<v Speaker 1>over at Sundance. Um, that's a shout out to my

0:28:05.040 --> 0:28:08.439
<v Speaker 1>buddies anyway, So same sort of thing. It's it's because

0:28:08.440 --> 0:28:11.080
<v Speaker 1>of that rolling shutter. The information is being captured line

0:28:11.119 --> 0:28:14.919
<v Speaker 1>by line. If your camera is not steady then and

0:28:14.960 --> 0:28:16.800
<v Speaker 1>if it's moving around quite a bit and at a

0:28:16.960 --> 0:28:21.520
<v Speaker 1>fairly fast pace, then it's the The images are not

0:28:21.560 --> 0:28:25.840
<v Speaker 1>going to be uh, they're not gonna be clear. They're

0:28:25.840 --> 0:28:29.240
<v Speaker 1>gonna end up having this wobbly, stretchy look. So let's

0:28:29.240 --> 0:28:32.560
<v Speaker 1>say you're panning uh down, so you've got you you

0:28:32.920 --> 0:28:34.919
<v Speaker 1>maybe you've got your looking at the top of that

0:28:34.960 --> 0:28:39.480
<v Speaker 1>tower and you start panning down very very quickly to say,

0:28:39.520 --> 0:28:44.479
<v Speaker 1>simulate a fall. So uh, we're panting down very very quickly.

0:28:44.800 --> 0:28:47.920
<v Speaker 1>That rolling shutter is going up from the top to

0:28:47.920 --> 0:28:52.400
<v Speaker 1>the bottom very quickly. As you are going down, the

0:28:52.480 --> 0:28:55.800
<v Speaker 1>shutter is going to uh. If you're matching the shutter

0:28:55.840 --> 0:28:58.360
<v Speaker 1>speed or getting close to the shutter speed, it's going

0:28:58.400 --> 0:29:02.480
<v Speaker 1>to make that building stretch out, it's gonna look very odd. Um.

0:29:02.600 --> 0:29:06.120
<v Speaker 1>And so that's another one of those issues. And again

0:29:06.240 --> 0:29:08.800
<v Speaker 1>the global shutter doesn't have that problem because it's not

0:29:09.360 --> 0:29:14.440
<v Speaker 1>it's not capturing information the same way. Uh. And then

0:29:14.680 --> 0:29:21.640
<v Speaker 1>finally there's partial exposure. Partial exposure happens when light is

0:29:21.760 --> 0:29:24.840
<v Speaker 1>hitting the shutter or the the image sensor at a

0:29:24.920 --> 0:29:27.840
<v Speaker 1>very particular moment and and the light is hitting it

0:29:28.040 --> 0:29:31.800
<v Speaker 1>just fast enough so that when the rolling shutter starts,

0:29:32.440 --> 0:29:35.720
<v Speaker 1>the light's not there. But before the rolling shutter has finished,

0:29:35.760 --> 0:29:39.880
<v Speaker 1>it's it's a journey across the image sensor. The light

0:29:39.920 --> 0:29:42.360
<v Speaker 1>has coming gone, which means that part of your image

0:29:42.440 --> 0:29:44.560
<v Speaker 1>is going to be much brighter than the rest of

0:29:44.560 --> 0:29:47.560
<v Speaker 1>your image. So if you think about your image as

0:29:48.120 --> 0:29:50.560
<v Speaker 1>h let's say you're taking a picture of, say a poster,

0:29:51.080 --> 0:29:53.680
<v Speaker 1>all right, you gotta you're looking at a poster and

0:29:53.840 --> 0:29:56.440
<v Speaker 1>there's a flash that goes off as you are taking

0:29:56.440 --> 0:29:59.080
<v Speaker 1>your image, and the flash is moving at a speed

0:29:59.160 --> 0:30:01.240
<v Speaker 1>is a very quick, flat moving it's moving on speed

0:30:01.280 --> 0:30:06.600
<v Speaker 1>that's faster than the rolling shutter is when you actually

0:30:06.600 --> 0:30:08.520
<v Speaker 1>look at that picture, when you're looking at the poster

0:30:08.680 --> 0:30:10.520
<v Speaker 1>in the back, it's gonna look like there's this one

0:30:10.640 --> 0:30:13.840
<v Speaker 1>band of the poster that's much more brightly lit than

0:30:13.880 --> 0:30:16.520
<v Speaker 1>the rest of the poster, and that's going to be

0:30:16.600 --> 0:30:19.960
<v Speaker 1>the moment when that flash hit the image sensor as

0:30:20.000 --> 0:30:24.600
<v Speaker 1>the rolling shutter was going down the sensor. So this

0:30:24.680 --> 0:30:27.160
<v Speaker 1>is another issue you have to work with your lighting

0:30:27.160 --> 0:30:31.200
<v Speaker 1>in order to avoid it. And uh you know it

0:30:31.240 --> 0:30:35.040
<v Speaker 1>can if you're using a flash that's a longer based flash,

0:30:35.200 --> 0:30:37.280
<v Speaker 1>you don't have to worry as much. This is why

0:30:37.880 --> 0:30:40.560
<v Speaker 1>partially why anyway part of it because it's most of

0:30:40.600 --> 0:30:44.480
<v Speaker 1>the the smartphone flashes or l e D s, But

0:30:44.720 --> 0:30:47.000
<v Speaker 1>it's also part of why if you ever take a

0:30:47.040 --> 0:30:50.720
<v Speaker 1>photo with a smartphone that uses an LED flash. It

0:30:50.960 --> 0:30:54.280
<v Speaker 1>tends to last a while. It's because if it didn't,

0:30:54.320 --> 0:30:56.080
<v Speaker 1>then your all your images would come out with this

0:30:56.200 --> 0:31:00.360
<v Speaker 1>weird banding issue. And you don't want bands in your

0:31:00.520 --> 0:31:04.480
<v Speaker 1>in your pictures unless you're at a concert. I'll be

0:31:04.520 --> 0:31:07.440
<v Speaker 1>taking some tonight. Awesome, I'm gonna go see. Day might

0:31:07.480 --> 0:31:11.200
<v Speaker 1>be giants and that's a shoutout. Today might be giants.

0:31:11.600 --> 0:31:15.719
<v Speaker 1>Everyone's getting shout outs today. It's free plug day on

0:31:15.800 --> 0:31:18.560
<v Speaker 1>tech stuff. Well, you know a lot of stuff on

0:31:18.560 --> 0:31:21.560
<v Speaker 1>tech stuff requires a plug. Yes, it's true. Not everything

0:31:21.640 --> 0:31:26.600
<v Speaker 1>is better reoperated. So, yeah, the c c D is

0:31:26.640 --> 0:31:30.560
<v Speaker 1>only prone to the smear issue, whereas CMOS has those

0:31:30.600 --> 0:31:34.160
<v Speaker 1>other three. If you have a decent camera, you shouldn't

0:31:34.200 --> 0:31:36.440
<v Speaker 1>have you know, in our are taking precautions. You just

0:31:36.680 --> 0:31:38.880
<v Speaker 1>have to worry about it, exactly. Yeah, if you if

0:31:38.920 --> 0:31:41.320
<v Speaker 1>you know what you're doing, you can get around these problems.

0:31:41.840 --> 0:31:43.880
<v Speaker 1>It's just that these are the ones that are the

0:31:43.960 --> 0:31:47.160
<v Speaker 1>cameras are prone to based upon the technology they use.

0:31:47.800 --> 0:31:50.200
<v Speaker 1>So it's not that every single image you're gonna take,

0:31:50.320 --> 0:31:54.520
<v Speaker 1>or even even like a significant percentage of the images

0:31:54.560 --> 0:31:58.400
<v Speaker 1>you'll take, will have problems associated with these issues that

0:31:58.400 --> 0:32:02.040
<v Speaker 1>I've talked about, but some of them might and the

0:32:02.120 --> 0:32:05.080
<v Speaker 1>reason why they they have those is because of the

0:32:05.080 --> 0:32:09.360
<v Speaker 1>technology itself. And again, you know, you just little basic

0:32:09.400 --> 0:32:12.160
<v Speaker 1>tricks that you can do, you know, just for example,

0:32:12.280 --> 0:32:16.080
<v Speaker 1>using a tripod whenever you can helps a lot, it'll

0:32:16.120 --> 0:32:18.200
<v Speaker 1>it'll really remove a lot of this. Also, you know,

0:32:18.320 --> 0:32:21.640
<v Speaker 1>most of most people aren't running around and jerking the

0:32:21.720 --> 0:32:24.880
<v Speaker 1>camera left and right so fast that these are really

0:32:25.040 --> 0:32:30.200
<v Speaker 1>coming into play. Uh And if you're using Instagram, really

0:32:30.200 --> 0:32:32.680
<v Speaker 1>you've made your image look so crappy already you don't

0:32:32.680 --> 0:32:37.960
<v Speaker 1>need to worry about these effects. That's that's just a

0:32:38.040 --> 0:32:45.800
<v Speaker 1>joke mostly. Alright, My wife uses Instagram a lot. What

0:32:45.960 --> 0:32:49.000
<v Speaker 1>a lovely old tiny photo of the Space Shuttle. I'm

0:32:49.040 --> 0:32:53.240
<v Speaker 1>so glad anyway, Uh so, yeah, I mean, so, which

0:32:53.760 --> 0:32:57.640
<v Speaker 1>which is better? Really kind of it really does depend

0:32:57.680 --> 0:33:01.320
<v Speaker 1>on what kind of photography you're going to be doing. Um,

0:33:01.360 --> 0:33:03.880
<v Speaker 1>you know, probably the biggest difference is whether you're doing

0:33:03.920 --> 0:33:07.680
<v Speaker 1>still photography or or video. And most of the time

0:33:07.680 --> 0:33:10.840
<v Speaker 1>when you're shopping for cameras, the type of sensor that's

0:33:10.840 --> 0:33:14.120
<v Speaker 1>and it is not necessarily the easiest information for you

0:33:14.160 --> 0:33:17.200
<v Speaker 1>to find out, although it does pay to to look

0:33:17.200 --> 0:33:19.480
<v Speaker 1>into that if you can and and actually do some

0:33:19.560 --> 0:33:22.640
<v Speaker 1>research on the sensor itself, because, like we said, the

0:33:22.640 --> 0:33:25.680
<v Speaker 1>sensor and the lens of the camera is going to

0:33:25.720 --> 0:33:27.800
<v Speaker 1>have a lot more to do with the quality of

0:33:27.840 --> 0:33:30.840
<v Speaker 1>the images that you get using that camera than how

0:33:30.840 --> 0:33:33.920
<v Speaker 1>many megapixels it has. So even if you go out

0:33:33.960 --> 0:33:35.959
<v Speaker 1>there and you buy a twelve megapixel camera and your

0:33:35.960 --> 0:33:39.240
<v Speaker 1>buddy has an eight megapixel camera, your buddy's images maybe

0:33:39.840 --> 0:33:43.239
<v Speaker 1>may look sharper and more vibrant than yours. Again, not

0:33:43.320 --> 0:33:45.560
<v Speaker 1>to do with the megapixels. It's more about the lens

0:33:45.600 --> 0:33:49.200
<v Speaker 1>and the sensory And of course, if you're you're planning

0:33:49.200 --> 0:33:51.680
<v Speaker 1>on dropping a lot of coin on a new camera,

0:33:52.520 --> 0:33:54.880
<v Speaker 1>probably would be a good idea if you read some

0:33:54.960 --> 0:33:59.080
<v Speaker 1>reviews from professionals to give you an idea of what

0:33:59.200 --> 0:34:01.880
<v Speaker 1>you expect to see. If if other people are using

0:34:01.920 --> 0:34:04.960
<v Speaker 1>it the same way, you will be um to get

0:34:05.000 --> 0:34:07.280
<v Speaker 1>to really get an idea of how you know whether

0:34:07.320 --> 0:34:09.439
<v Speaker 1>it's going to suit your needs, and that's the most

0:34:09.440 --> 0:34:13.800
<v Speaker 1>important thing. Very good, Yes, good advice from Mr Bled

0:34:14.280 --> 0:34:17.520
<v Speaker 1>And that wraps up another classic episode. Hope you guys

0:34:17.560 --> 0:34:20.120
<v Speaker 1>enjoyed it. If you have any suggestions for future episodes

0:34:20.120 --> 0:34:23.280
<v Speaker 1>of tech Stuff, why not, right in The email address

0:34:23.320 --> 0:34:25.600
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0:34:25.640 --> 0:34:27.879
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0:34:27.920 --> 0:34:30.600
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0:34:48.160 --> 0:34:57.120
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0:34:57.120 --> 0:34:59.439
<v Speaker 1>of other topics. Because at how stuff works dot com,

0:35:02.719 --> 0:35:04.919
<v Speaker 1>wal won