1 00:00:00,320 --> 00:00:03,000 Speaker 1: Brought to you by the reinvented two thousand twelve Camray. 2 00:00:03,200 --> 00:00:09,040 Speaker 1: It's ready. Are you get in touch with technology? With 3 00:00:09,119 --> 00:00:14,440 Speaker 1: tech Stuff from how stuff looks dot com. Hello there, everybody, 4 00:00:14,440 --> 00:00:16,799 Speaker 1: and welcome to tech stuff. My name is Chris Poulette 5 00:00:16,800 --> 00:00:19,440 Speaker 1: and I'm an editor here at how Stuff works dot com. 6 00:00:19,440 --> 00:00:21,919 Speaker 1: Sitting next to me looking at pictures of your house 7 00:00:22,040 --> 00:00:24,959 Speaker 1: right now, as senior writer Jonathan Strickland, you need to 8 00:00:25,000 --> 00:00:29,800 Speaker 1: mow your lawn and take down that old hammock. Yeah, 9 00:00:30,080 --> 00:00:31,720 Speaker 1: that's just know what that. Nobody's going to get in 10 00:00:31,720 --> 00:00:33,800 Speaker 1: that thing again? Right? Yeah? Come on, who are your 11 00:00:33,840 --> 00:00:37,000 Speaker 1: fooling so today? Before we get into the topic, I 12 00:00:37,040 --> 00:00:39,199 Speaker 1: guess uh, we need to lead into it and I 13 00:00:39,840 --> 00:00:41,960 Speaker 1: can think of no better way to lead into it. 14 00:00:42,040 --> 00:00:49,440 Speaker 1: Then you can listener me. Seriously, you could have thought 15 00:00:49,479 --> 00:00:53,120 Speaker 1: of fifty different ways lead. We have two listener mails 16 00:00:53,159 --> 00:00:55,360 Speaker 1: that have to do with today's topic. The first comes 17 00:00:55,400 --> 00:00:58,680 Speaker 1: from Duncan from Kent, England. You know what that means, 18 00:00:59,640 --> 00:01:01,800 Speaker 1: hey eyes. I'm sure I speak for a lot of 19 00:01:01,800 --> 00:01:04,280 Speaker 1: people when I say your podcasts awesome. I've been listening 20 00:01:04,280 --> 00:01:06,280 Speaker 1: for a while now and accumula a few suggestions. It 21 00:01:06,319 --> 00:01:08,200 Speaker 1: may be a lot to see. What's the deal with 22 00:01:08,280 --> 00:01:10,280 Speaker 1: Google street View. I hope you guys have a great 23 00:01:10,319 --> 00:01:14,479 Speaker 1: day and even great summer. From Duncan ps Max Rule. 24 00:01:15,800 --> 00:01:18,039 Speaker 1: Duncan actually sent us quite a few suggestions. That was 25 00:01:18,080 --> 00:01:19,680 Speaker 1: just one of them, but that's what we're gonna talk 26 00:01:19,720 --> 00:01:21,880 Speaker 1: about today. But we did have an email from someone 27 00:01:21,920 --> 00:01:26,199 Speaker 1: else as well, Kimmy. Now Kimmy also gave multiple suggestions, 28 00:01:26,880 --> 00:01:28,720 Speaker 1: but Kimmi says, hello, I really enjoyed the show and 29 00:01:28,760 --> 00:01:30,400 Speaker 1: I was hoping to throw a couple of suggestions at 30 00:01:30,440 --> 00:01:33,160 Speaker 1: you for ideas. I was wondering how Google gets their 31 00:01:33,200 --> 00:01:36,080 Speaker 1: images for their street view on Google Maps Earth. It 32 00:01:36,120 --> 00:01:37,960 Speaker 1: seems like an awful lot of pictures to get together, 33 00:01:37,959 --> 00:01:40,080 Speaker 1: and I was wondering how they went about it. Thank 34 00:01:40,080 --> 00:01:42,560 Speaker 1: you again for all the information or I'm sorry. Thank 35 00:01:42,600 --> 00:01:45,280 Speaker 1: you for all the informative podcasts, and I hope there 36 00:01:45,280 --> 00:01:48,280 Speaker 1: will be many more in the future. We hope so too, Kimmy. 37 00:01:48,560 --> 00:01:51,680 Speaker 1: So we're gonna talk about Google street View. Thank you 38 00:01:51,720 --> 00:01:55,320 Speaker 1: for all the informative podcasts and all those non informative podcasts. 39 00:01:55,320 --> 00:01:57,600 Speaker 1: What we'd like to do those two. So Google street 40 00:01:57,640 --> 00:02:01,320 Speaker 1: View is a is a well this this one will 41 00:02:01,320 --> 00:02:03,840 Speaker 1: hopefully be one of the informative ones. So Google street 42 00:02:03,880 --> 00:02:06,400 Speaker 1: View started back in two thousand seven, or at least 43 00:02:06,400 --> 00:02:09,799 Speaker 1: it was unveiled in two thousand seven, that long ago. Yeah, 44 00:02:10,120 --> 00:02:11,880 Speaker 1: you know what's strange is that when you think of 45 00:02:11,919 --> 00:02:14,239 Speaker 1: all the news that's been generated by Google street View, 46 00:02:14,400 --> 00:02:16,400 Speaker 1: it's amazing to think it's only been around for two 47 00:02:16,480 --> 00:02:19,560 Speaker 1: years and it started in late May two thousand seven, 48 00:02:19,639 --> 00:02:22,720 Speaker 1: so not you know, it's it's just gotten past the 49 00:02:22,720 --> 00:02:26,520 Speaker 1: the two year mark. So basically they decided to strap 50 00:02:26,560 --> 00:02:28,040 Speaker 1: the camera on the back of a car and drive 51 00:02:28,040 --> 00:02:30,399 Speaker 1: it down the street. Yeah, that's pretty much it. Okay, 52 00:02:30,440 --> 00:02:35,640 Speaker 1: So they put a camera that can take high definition photos. 53 00:02:36,720 --> 00:02:38,880 Speaker 1: It takes a lot of them and uh in three 54 00:02:39,000 --> 00:02:42,240 Speaker 1: sixty right, So they're actually cameras facing in different directions, 55 00:02:43,160 --> 00:02:45,440 Speaker 1: And what they do is they drive down the various 56 00:02:45,440 --> 00:02:48,960 Speaker 1: streets with this camera running. It's constantly taking photos. Um 57 00:02:49,040 --> 00:02:52,840 Speaker 1: and it GEO tags these photos. There's a GPS system 58 00:02:52,840 --> 00:02:56,680 Speaker 1: on these these cars that allows Google to actually put 59 00:02:56,720 --> 00:02:59,079 Speaker 1: the photos together in the right way, because I mean, 60 00:02:59,120 --> 00:03:01,720 Speaker 1: if you just took pictures going down the street, you 61 00:03:01,720 --> 00:03:04,560 Speaker 1: wouldn't necessarily know like, oh wait, you know what if 62 00:03:04,560 --> 00:03:06,600 Speaker 1: they what if they're out of order. How can I 63 00:03:06,680 --> 00:03:09,320 Speaker 1: does the Windy's come before the McDonald's, or you know 64 00:03:09,760 --> 00:03:12,080 Speaker 1: which direction am I going in? So you need to 65 00:03:12,120 --> 00:03:15,000 Speaker 1: have some information like the direction you're facing, the geotagging, 66 00:03:15,160 --> 00:03:17,840 Speaker 1: all that kind of stuff in order to create a 67 00:03:17,960 --> 00:03:22,480 Speaker 1: useful map. And it's really a big panoramic image for 68 00:03:22,520 --> 00:03:26,080 Speaker 1: all the cities that are that have been involved in 69 00:03:26,120 --> 00:03:28,640 Speaker 1: Google street View. And uh, I think there's been about 70 00:03:28,680 --> 00:03:32,240 Speaker 1: a hundred of them so far worldwide. And they started 71 00:03:32,240 --> 00:03:34,680 Speaker 1: in the United States, actually started in California, which should 72 00:03:34,680 --> 00:03:37,080 Speaker 1: come as no surprises since that's where the headquarters for 73 00:03:37,120 --> 00:03:41,600 Speaker 1: Google happen to be and the Google Plex. Yes, and uh, 74 00:03:41,640 --> 00:03:44,720 Speaker 1: I believe San Jose was the very first UM city 75 00:03:44,760 --> 00:03:52,200 Speaker 1: to to encounter the Google street View vehicles. UM and yeah, 76 00:03:52,200 --> 00:03:55,120 Speaker 1: so I mean there's nothing really special, uh in the 77 00:03:55,280 --> 00:03:58,080 Speaker 1: in their methodology. They just, like we said, drive down 78 00:03:58,080 --> 00:04:00,560 Speaker 1: the street and they take lots of photos. UM. These 79 00:04:00,560 --> 00:04:04,760 Speaker 1: photos they then meshed together to create these panoramic images 80 00:04:04,800 --> 00:04:07,680 Speaker 1: that are known as Google street View. Now, even at 81 00:04:07,680 --> 00:04:12,360 Speaker 1: the very beginning, there were some issues with this UM 82 00:04:12,400 --> 00:04:15,200 Speaker 1: in June two thousand seven, so it had been active 83 00:04:15,240 --> 00:04:19,520 Speaker 1: for just a couple of weeks, and said that within 84 00:04:19,640 --> 00:04:22,120 Speaker 1: hours of the photographs of downtown San Francisco and New 85 00:04:22,200 --> 00:04:25,200 Speaker 1: York hitting the internet, bloggers were posting images of people 86 00:04:25,279 --> 00:04:29,120 Speaker 1: their faces visible, being arrested, sunbathing, and urinating in public. 87 00:04:29,480 --> 00:04:32,000 Speaker 1: Hopefully not all at the same time. That would be 88 00:04:32,040 --> 00:04:37,240 Speaker 1: a really awkward criminal sunbathing and urinating while being arrested. Um, 89 00:04:37,360 --> 00:04:40,200 Speaker 1: I imagine those are three different categories of people. Wait 90 00:04:40,240 --> 00:04:43,240 Speaker 1: you you can cut me, but make sure you you know, 91 00:04:43,320 --> 00:04:47,000 Speaker 1: I need to flip over here, you know what, I'm 92 00:04:47,080 --> 00:04:49,479 Speaker 1: just gonna go with horrible, horrible jokes. If I keep on, 93 00:04:49,800 --> 00:04:55,000 Speaker 1: I'm gonna yeah. Yeah, So you know, wire dot Com 94 00:04:55,000 --> 00:04:57,480 Speaker 1: went ahead and started collecting these and started showing them off, 95 00:04:57,520 --> 00:04:59,400 Speaker 1: and uh, they're actually quite a few sites on the 96 00:04:59,440 --> 00:05:03,520 Speaker 1: web now are people collect and show funny images that 97 00:05:03,560 --> 00:05:06,520 Speaker 1: were they're captured by Google street View. But even at 98 00:05:06,520 --> 00:05:08,880 Speaker 1: that early stage, back in two thousand and seven, there 99 00:05:08,920 --> 00:05:13,440 Speaker 1: were obviously some issues with the Google street Views raised 100 00:05:13,480 --> 00:05:17,760 Speaker 1: some questions like privacy and um, you know, do you 101 00:05:17,760 --> 00:05:20,200 Speaker 1: have any expectation of privacy when you're out in public? 102 00:05:20,240 --> 00:05:24,159 Speaker 1: Should you? Should you? Does Google have a responsibility to 103 00:05:24,160 --> 00:05:28,080 Speaker 1: to mask people's profiles so that they aren't easily identifiable 104 00:05:28,080 --> 00:05:30,120 Speaker 1: when they're out in public. I mean, after all, if 105 00:05:30,160 --> 00:05:32,200 Speaker 1: I were walking down the street, there's nothing stopping me 106 00:05:32,279 --> 00:05:35,080 Speaker 1: from taking photos of any public place or or location, 107 00:05:35,120 --> 00:05:36,640 Speaker 1: I could just you know, whip out the camera and 108 00:05:36,680 --> 00:05:39,400 Speaker 1: start taking photos left and right. You have that right 109 00:05:39,400 --> 00:05:41,520 Speaker 1: in the United States and in most other countries where 110 00:05:41,560 --> 00:05:44,159 Speaker 1: Google street View is. And in fact, that's been Google's 111 00:05:44,200 --> 00:05:46,159 Speaker 1: defense in a lot of these cases, saying it's there's 112 00:05:46,200 --> 00:05:48,800 Speaker 1: nothing illegal about what we're doing. We we keep to 113 00:05:48,960 --> 00:05:52,200 Speaker 1: public roadways, and therefore we can take all the photos 114 00:05:52,200 --> 00:05:57,200 Speaker 1: we want roadways for now, except they're starting to deviate 115 00:05:57,200 --> 00:05:59,039 Speaker 1: from the roadways. And well, not only that, but they're 116 00:05:59,080 --> 00:06:02,600 Speaker 1: also instances where they have driven on roads where there 117 00:06:02,640 --> 00:06:06,560 Speaker 1: were no trespassing signs and private property signs up. Uh. 118 00:06:06,640 --> 00:06:09,960 Speaker 1: And yet Google street View cars have gone through these 119 00:06:10,240 --> 00:06:13,919 Speaker 1: communities and taking taking photos. Um. And there's at least 120 00:06:13,920 --> 00:06:19,080 Speaker 1: one instance where that really was uh an issue. Um. 121 00:06:19,160 --> 00:06:22,039 Speaker 1: It was in Minnesota. There was a town there, a 122 00:06:22,080 --> 00:06:25,360 Speaker 1: gated community, and it was private. It was a private 123 00:06:25,360 --> 00:06:29,280 Speaker 1: gated community that the citizens of that community actually owned 124 00:06:29,680 --> 00:06:32,719 Speaker 1: the streets, so they were private roads, they weren't public. 125 00:06:33,120 --> 00:06:36,840 Speaker 1: And yet Google street you drove through this community, took 126 00:06:36,880 --> 00:06:40,440 Speaker 1: photos uploaded them. They were part of Google street View. 127 00:06:40,880 --> 00:06:46,520 Speaker 1: Eventually they did take down those photos. Um because redents 128 00:06:46,920 --> 00:06:50,880 Speaker 1: of north Oaks said, we don't want our pictures there, 129 00:06:51,240 --> 00:06:53,279 Speaker 1: we don't want our community up on the internet. And 130 00:06:53,279 --> 00:06:55,800 Speaker 1: eventually Google did take them down. And in fact, there 131 00:06:56,000 --> 00:06:58,840 Speaker 1: is a process you can go through. If you find 132 00:06:58,839 --> 00:07:01,200 Speaker 1: a photo to be objection bowl for some reason or another, 133 00:07:01,279 --> 00:07:03,400 Speaker 1: you can you can click on a little link and 134 00:07:03,480 --> 00:07:06,440 Speaker 1: report it to Google and assuming that you have a 135 00:07:06,520 --> 00:07:09,640 Speaker 1: legitimate reason for bringing down that photo, Google will actually 136 00:07:09,640 --> 00:07:12,840 Speaker 1: take it down and will eventually replace it with something else. Yeah, 137 00:07:12,840 --> 00:07:15,600 Speaker 1: you know. Uh, there have been some high profile names 138 00:07:15,960 --> 00:07:18,960 Speaker 1: who have written in to say please take my house down. 139 00:07:19,480 --> 00:07:23,880 Speaker 1: Among them, Sir Paul McCartney of his London house asked 140 00:07:23,880 --> 00:07:26,640 Speaker 1: Google to remove his pictures of his home. I think 141 00:07:26,680 --> 00:07:32,000 Speaker 1: he specifically said let it be okay and uh So, anyway, 142 00:07:32,880 --> 00:07:35,760 Speaker 1: when I meant a few minutes ago to about we 143 00:07:35,760 --> 00:07:38,360 Speaker 1: were talking about how they were deviating from the path 144 00:07:39,840 --> 00:07:44,160 Speaker 1: Google street view and now employs tricycles. Not tricycles like 145 00:07:44,280 --> 00:07:46,760 Speaker 1: you know, the kind with the little bell and the streamers. 146 00:07:47,040 --> 00:07:49,520 Speaker 1: I just I just envisioned all these like little hellions 147 00:07:49,520 --> 00:07:55,240 Speaker 1: on big wheels really cool, be awesome. Can you imagine 148 00:07:55,280 --> 00:07:59,240 Speaker 1: the photos to come back? No, I can't actually anyway, 149 00:08:00,160 --> 00:08:02,600 Speaker 1: but no, they're they're more like those uh those ice 150 00:08:02,640 --> 00:08:05,440 Speaker 1: cream carts because they have a big box on the 151 00:08:05,480 --> 00:08:08,200 Speaker 1: back between the two back wheels. And uh, you know 152 00:08:08,360 --> 00:08:11,040 Speaker 1: the the Google street View camera, which is basically a 153 00:08:11,040 --> 00:08:14,960 Speaker 1: giant pole with the panoramic cameras mounted on the top. 154 00:08:15,440 --> 00:08:17,200 Speaker 1: They have to be a certain height to really get 155 00:08:17,240 --> 00:08:20,480 Speaker 1: the you know the Google street View effects, which actually 156 00:08:20,680 --> 00:08:22,280 Speaker 1: which is not like the ken Burns effect. That's an 157 00:08:22,400 --> 00:08:25,880 Speaker 1: entirely different animal, but that actually did cause some issues 158 00:08:25,920 --> 00:08:32,280 Speaker 1: in other countries. That's that height ca so people jump ahead. Yeah, 159 00:08:32,360 --> 00:08:35,240 Speaker 1: the street view the street view trikes are traveling on 160 00:08:35,440 --> 00:08:39,719 Speaker 1: paths like in parks and college campuses, places where the 161 00:08:40,120 --> 00:08:44,280 Speaker 1: cars may not travel. Um, so I'm sure that that 162 00:08:44,320 --> 00:08:46,880 Speaker 1: will cause a fresh round of complaints. That's that's kind 163 00:08:46,880 --> 00:08:48,560 Speaker 1: of still a fairly new thing as at the time 164 00:08:48,600 --> 00:08:57,040 Speaker 1: we're recording this, uh in January, So um wow, going back, 165 00:08:57,240 --> 00:08:59,040 Speaker 1: you know, we're not like we ever get accused of 166 00:08:59,040 --> 00:09:05,000 Speaker 1: spreading misinformation anything anyway. Yes, and it's going and we 167 00:09:05,040 --> 00:09:08,200 Speaker 1: could have been back to the future anyway, No, it is. 168 00:09:08,240 --> 00:09:10,840 Speaker 1: It is June, and the tricycles are still sort of 169 00:09:10,840 --> 00:09:15,479 Speaker 1: a new thing. Yeah, they are a new thing. And 170 00:09:14,200 --> 00:09:17,640 Speaker 1: um and I'm sure that we're going to see some 171 00:09:17,760 --> 00:09:20,760 Speaker 1: interesting and creative ways that students are going to find, 172 00:09:21,200 --> 00:09:25,160 Speaker 1: uh to insert themselves into these photos, because that has 173 00:09:25,160 --> 00:09:29,079 Speaker 1: already become something of a a thing, a meme if 174 00:09:29,080 --> 00:09:32,800 Speaker 1: you will, on the internet, is finding ways of inserting 175 00:09:32,920 --> 00:09:36,560 Speaker 1: interesting pictures into Google street View. Now, it's a little 176 00:09:36,559 --> 00:09:39,839 Speaker 1: tricky because usually Google does not announce when it's going 177 00:09:39,840 --> 00:09:42,280 Speaker 1: to go through a certain community, so you know, you 178 00:09:42,360 --> 00:09:43,720 Speaker 1: kind of have to be at the ready all the 179 00:09:43,720 --> 00:09:45,360 Speaker 1: time if you really want to do something. And once 180 00:09:45,360 --> 00:09:47,640 Speaker 1: in a while they'll work with someone and and plan 181 00:09:47,720 --> 00:09:51,400 Speaker 1: ahead so they can do something particularly special. But there 182 00:09:51,440 --> 00:09:56,960 Speaker 1: have been plenty of spontaneous uh displays, let's say, of 183 00:09:57,320 --> 00:10:02,079 Speaker 1: people trying to to sneak in something into Google street View. Um. 184 00:10:02,240 --> 00:10:05,280 Speaker 1: I saw an image not that long ago of a 185 00:10:05,320 --> 00:10:08,320 Speaker 1: young lady, I would say, of the college age, who 186 00:10:08,520 --> 00:10:13,640 Speaker 1: was obviously in the process of displaying her chest to 187 00:10:13,800 --> 00:10:17,920 Speaker 1: the Google street View car, perhaps going through the streets 188 00:10:17,920 --> 00:10:21,280 Speaker 1: of New Orleans doing during It looked to me like 189 00:10:21,320 --> 00:10:23,520 Speaker 1: it was going past the college campus. Tell you the truth, 190 00:10:23,800 --> 00:10:26,400 Speaker 1: but the the young lady was not quick enough on 191 00:10:26,440 --> 00:10:29,920 Speaker 1: the draw, so to speak. So there were there were 192 00:10:29,920 --> 00:10:32,240 Speaker 1: no um, well, there's no way to say it. There 193 00:10:32,240 --> 00:10:34,920 Speaker 1: were no boobies. There were no boobies in the photo. 194 00:10:35,640 --> 00:10:39,800 Speaker 1: There was it was clearly pre booby revelation. So um. 195 00:10:39,840 --> 00:10:42,000 Speaker 1: But you know what, ladies, keep on trying because I'm 196 00:10:42,040 --> 00:10:44,920 Speaker 1: sure one of you will eventually succeed. And I know 197 00:10:45,000 --> 00:10:47,480 Speaker 1: that that kind of fame is sort of thing that 198 00:10:47,520 --> 00:10:50,200 Speaker 1: I'll make you proud for the rest of your life. 199 00:10:50,559 --> 00:10:55,440 Speaker 1: Stay classy tech stuff. All I'm saying I wouldn't do it. 200 00:10:55,640 --> 00:10:57,720 Speaker 1: I mean, I'm not gonna judge you if you do 201 00:10:57,720 --> 00:11:01,000 Speaker 1: do it. But he there as gotta be better ways 202 00:11:01,000 --> 00:11:03,439 Speaker 1: to spend your time, like and there's There have been 203 00:11:03,440 --> 00:11:06,719 Speaker 1: some really cool displays, not like these goofy little like 204 00:11:07,960 --> 00:11:11,839 Speaker 1: flash Um Girls Gone Google street View. The one of 205 00:11:11,920 --> 00:11:16,720 Speaker 1: the cool ones was an art project in Pittsburgh, the 206 00:11:16,800 --> 00:11:19,520 Speaker 1: Street with a View project. Are you familiar with this one? 207 00:11:19,559 --> 00:11:21,520 Speaker 1: This one? I don't know. You've probably seen some of 208 00:11:21,559 --> 00:11:23,200 Speaker 1: the images and just didn't know it was part of 209 00:11:23,240 --> 00:11:27,040 Speaker 1: this this um this project. So this was a project 210 00:11:27,120 --> 00:11:30,920 Speaker 1: that uh that Robin Hewlett and Ben Kinsley came up 211 00:11:30,960 --> 00:11:33,800 Speaker 1: with back in two thousand and eight, and they knew 212 00:11:33,840 --> 00:11:37,720 Speaker 1: that Google was coming through this neighborhood in Pittsburgh, and 213 00:11:37,760 --> 00:11:41,360 Speaker 1: they wanted to create a series of tableau for the 214 00:11:41,400 --> 00:11:44,000 Speaker 1: street View car to capture as it drove down this 215 00:11:44,080 --> 00:11:48,080 Speaker 1: very narrow street. And so they created several different scenes, 216 00:11:48,120 --> 00:11:51,440 Speaker 1: not just you know one. So the street View ended 217 00:11:51,480 --> 00:11:54,240 Speaker 1: up passing a high school marching band in the middle 218 00:11:54,240 --> 00:11:59,120 Speaker 1: of a performance, UM, a parade, a marathon UM. There 219 00:11:59,200 --> 00:12:01,880 Speaker 1: was someone clear moving in or moving out of a 220 00:12:02,000 --> 00:12:03,760 Speaker 1: home because there was a big moving car with a 221 00:12:03,760 --> 00:12:06,959 Speaker 1: lot of stuff piled up. There was a garage band practicing. 222 00:12:07,040 --> 00:12:10,520 Speaker 1: There was a mad scientist lab in a garage where 223 00:12:10,520 --> 00:12:13,199 Speaker 1: they were working on a love laser of some sort 224 00:12:13,960 --> 00:12:16,560 Speaker 1: um there, and there were reports that there were even 225 00:12:16,640 --> 00:12:20,280 Speaker 1: citizens of the neighborhood getting involved. Like they they saw 226 00:12:20,360 --> 00:12:22,120 Speaker 1: that something was going on, so they decided to put 227 00:12:22,160 --> 00:12:25,360 Speaker 1: on their own little little displays as well, which kind 228 00:12:25,360 --> 00:12:28,160 Speaker 1: of blurred the line between fantasy and reality, which was 229 00:12:28,200 --> 00:12:30,360 Speaker 1: really what this project was all about. Oh and the 230 00:12:30,400 --> 00:12:32,560 Speaker 1: image that that really got a lot of circulation in 231 00:12:32,559 --> 00:12:35,720 Speaker 1: the blogs. There was a couple of people out on 232 00:12:35,760 --> 00:12:38,959 Speaker 1: the lawn practicing with buffer weapons that you would see 233 00:12:38,960 --> 00:12:42,040 Speaker 1: in a LARP, you know, live action role playing buffer weapons. 234 00:12:42,040 --> 00:12:44,440 Speaker 1: So these two guys with these big these big shields 235 00:12:44,480 --> 00:12:48,680 Speaker 1: and padded swords just wailing the crap out of each other. 236 00:12:49,080 --> 00:12:52,880 Speaker 1: And um, yeah, all of that was part of this project. 237 00:12:52,920 --> 00:12:54,959 Speaker 1: And it's pretty cool. You can go to the street 238 00:12:55,000 --> 00:12:57,439 Speaker 1: with a view projects still up online and see the 239 00:12:57,720 --> 00:13:01,000 Speaker 1: images that came from it. You can you can drive essentially, 240 00:13:01,040 --> 00:13:03,320 Speaker 1: you know, you virtually drive down the street and see 241 00:13:03,360 --> 00:13:06,920 Speaker 1: all these different tableau And uh, I believe you were 242 00:13:06,960 --> 00:13:10,240 Speaker 1: you the one who showed me that street view had 243 00:13:10,440 --> 00:13:15,080 Speaker 1: found a very hard to find person. Oh yeah I did. 244 00:13:15,200 --> 00:13:19,320 Speaker 1: Um Actually, yeah, who to thunk it? Street View found 245 00:13:19,360 --> 00:13:25,880 Speaker 1: Waldo there. He was just there on the sidewalks. Shirt 246 00:13:26,200 --> 00:13:30,040 Speaker 1: Caane had the whole thing, the glasses. Waldo was right there. Yeah. 247 00:13:30,080 --> 00:13:32,320 Speaker 1: I wish I had written down exactly what what town 248 00:13:32,360 --> 00:13:33,960 Speaker 1: that was in. I can't remember off the top of 249 00:13:33,960 --> 00:13:38,040 Speaker 1: my head. I did email that out um earlier. Funny. 250 00:13:38,040 --> 00:13:41,600 Speaker 1: It was funny, and it's it's found some not so 251 00:13:42,200 --> 00:13:47,120 Speaker 1: fun stuff too. Um. As the recording of this podcast, 252 00:13:47,120 --> 00:13:50,240 Speaker 1: there was a recent report that Google street View helped 253 00:13:50,320 --> 00:13:56,720 Speaker 1: capture a couple of ne'er dwells. Yes, some some yes, 254 00:13:56,800 --> 00:14:00,720 Speaker 1: some some kids who mugged a teenage Actually I don't 255 00:14:00,720 --> 00:14:02,760 Speaker 1: know that they were kids, but they were twins, twins 256 00:14:02,800 --> 00:14:05,200 Speaker 1: who mugged the teenager and stole his money and uh 257 00:14:05,440 --> 00:14:10,320 Speaker 1: bicycle and yeah, and his mobile phone and um. The photo, 258 00:14:10,559 --> 00:14:13,000 Speaker 1: the street view photo photo was taken just before the crime. 259 00:14:13,040 --> 00:14:16,080 Speaker 1: And what happened was the kid the victim saw the 260 00:14:16,120 --> 00:14:19,200 Speaker 1: street view pictures, saw the twins. Those are the guys 261 00:14:19,240 --> 00:14:21,160 Speaker 1: who jumped me. They were able to track them down 262 00:14:21,160 --> 00:14:23,520 Speaker 1: and that one of the twins did admit to the crime. 263 00:14:23,560 --> 00:14:26,840 Speaker 1: And there you go. Actually, uh, he had to go 264 00:14:26,880 --> 00:14:29,520 Speaker 1: to a little effort though, because Google street View blurs 265 00:14:29,560 --> 00:14:32,680 Speaker 1: the faces of most of the people in the images. Yeah. 266 00:14:32,680 --> 00:14:34,960 Speaker 1: This this came as it didn't always do that. This 267 00:14:35,000 --> 00:14:38,040 Speaker 1: came as a result of many people complaining that, you know, 268 00:14:38,200 --> 00:14:40,800 Speaker 1: your privacy is not being protected while the Google street 269 00:14:40,840 --> 00:14:43,160 Speaker 1: View cars driving on the streets. So let's say you're 270 00:14:43,160 --> 00:14:45,600 Speaker 1: walking out of someplace that you'd rather people not know 271 00:14:45,680 --> 00:14:50,920 Speaker 1: you're walking out of, like says I was thinking of 272 00:14:51,000 --> 00:14:53,920 Speaker 1: things like an adult bookstore or perhaps your mistress's home. 273 00:14:54,040 --> 00:14:56,400 Speaker 1: You would not necessarily want everyone to be able to 274 00:14:56,400 --> 00:14:59,200 Speaker 1: see that, not your mistress Plott. I'm not suggesting that 275 00:14:59,240 --> 00:15:01,760 Speaker 1: you have a miss stress. I'm just yours and the 276 00:15:01,760 --> 00:15:07,080 Speaker 1: the universal you universe's mistress just laughing in our juxtaposition 277 00:15:07,160 --> 00:15:09,200 Speaker 1: of places we wouldn't want to be seen walking out of. 278 00:15:09,840 --> 00:15:13,160 Speaker 1: Oh well yeah, beef jerky versus adult bookstore mistress is 279 00:15:13,200 --> 00:15:15,640 Speaker 1: home right, all right? Well, I'm being realistic and you're 280 00:15:15,680 --> 00:15:19,400 Speaker 1: being silly. So but people wrote in and said they 281 00:15:19,680 --> 00:15:22,520 Speaker 1: really didn't like the thought of And there are other 282 00:15:22,680 --> 00:15:25,240 Speaker 1: more innocent things that you might not want people seeing. 283 00:15:25,320 --> 00:15:26,960 Speaker 1: They want you wouldn't want to see people to see 284 00:15:26,960 --> 00:15:31,280 Speaker 1: you walking out of, say a you know, a doctor's office, necessarily, 285 00:15:31,560 --> 00:15:33,480 Speaker 1: because then people are gonna say, hey, what's wrong with you? 286 00:15:33,480 --> 00:15:35,080 Speaker 1: Are you all right? If you know, it's none of 287 00:15:35,080 --> 00:15:37,120 Speaker 1: their business, you don't want them to know that necessarily. 288 00:15:37,160 --> 00:15:41,240 Speaker 1: So Google did take these these words to heart, and 289 00:15:41,280 --> 00:15:45,760 Speaker 1: they created an algorithm that detects faces and then blurs them. 290 00:15:45,800 --> 00:15:50,440 Speaker 1: It's not flawless. And license plates to plates as well, Yes, 291 00:15:50,600 --> 00:15:54,360 Speaker 1: also blurs those out most of the time. Yes, And 292 00:15:54,520 --> 00:15:58,680 Speaker 1: also people who aren't actually people, but you know images 293 00:15:58,720 --> 00:16:01,320 Speaker 1: that look like faces, right right, So you may see 294 00:16:01,320 --> 00:16:04,160 Speaker 1: a mural on a wall that's all blurred out because 295 00:16:04,400 --> 00:16:08,160 Speaker 1: Google that they all grow them is detected as a face. Um. 296 00:16:08,200 --> 00:16:10,200 Speaker 1: And also every now and then you'll see something really 297 00:16:10,200 --> 00:16:12,360 Speaker 1: really strange, Like you'll see someone walking down the street 298 00:16:12,400 --> 00:16:15,160 Speaker 1: and they don't appear to have a head. That's because 299 00:16:15,280 --> 00:16:18,400 Speaker 1: the cameras. It's it's where two different pictures, two different 300 00:16:18,440 --> 00:16:21,240 Speaker 1: images have been joined together, and of course the subject 301 00:16:21,280 --> 00:16:24,680 Speaker 1: is moving, as is the car, so that you're the 302 00:16:24,720 --> 00:16:26,560 Speaker 1: subject is not in the exact same place he or 303 00:16:26,600 --> 00:16:29,120 Speaker 1: she was when the first photo was taken. And so 304 00:16:29,160 --> 00:16:31,320 Speaker 1: when the two photos are joined together, you might get 305 00:16:31,400 --> 00:16:34,600 Speaker 1: something odd. So whenever there's a joint, you're gonna possibly 306 00:16:34,640 --> 00:16:37,800 Speaker 1: see some weird stuff if something was moving within the frame, 307 00:16:38,360 --> 00:16:39,920 Speaker 1: the same thing that you get when you look at 308 00:16:39,920 --> 00:16:44,720 Speaker 1: the Gigapan photos, the Giant Panorama photos. Yeah. Now it's 309 00:16:44,760 --> 00:16:47,600 Speaker 1: it's fun to look at the pictures of uh, you 310 00:16:47,640 --> 00:16:49,960 Speaker 1: know what's going on up and down the street as 311 00:16:50,000 --> 00:16:52,520 Speaker 1: you you know, as the car was traveling. Um. I 312 00:16:52,560 --> 00:16:55,840 Speaker 1: particularly this sort of ties all these things together. Uh. 313 00:16:56,040 --> 00:16:59,120 Speaker 1: One of my favorites is a series from Europe where 314 00:16:59,240 --> 00:17:02,280 Speaker 1: the street you car was going under a particularly low 315 00:17:02,360 --> 00:17:04,840 Speaker 1: bridge and of course that pole has mounted up pretty high, 316 00:17:04,880 --> 00:17:08,600 Speaker 1: so you have all these pictures of you know, the 317 00:17:08,640 --> 00:17:10,320 Speaker 1: bridge coming up and then all of a sudden you 318 00:17:10,359 --> 00:17:13,480 Speaker 1: have pictures of the bumper of the car because it 319 00:17:13,640 --> 00:17:15,280 Speaker 1: knocked the pole right off the top of the car, 320 00:17:15,440 --> 00:17:18,280 Speaker 1: and maybe just the sky. Oh yeah, yeah, you know. 321 00:17:18,480 --> 00:17:20,680 Speaker 1: Now we can go to Mars Lens cat through Google 322 00:17:20,680 --> 00:17:24,040 Speaker 1: street View. Uh. But you know there's a lot of 323 00:17:24,040 --> 00:17:27,920 Speaker 1: sites actually that have all kinds of uh images that 324 00:17:28,000 --> 00:17:31,199 Speaker 1: are weird, things intentionally shot or things they were just 325 00:17:31,359 --> 00:17:35,080 Speaker 1: you know, accidents like that, and uh, you know Europe actually, 326 00:17:35,320 --> 00:17:38,000 Speaker 1: Europe is a place that's sort of difficult for Google 327 00:17:38,040 --> 00:17:41,080 Speaker 1: street View because there are a lot of privacy advocates 328 00:17:41,080 --> 00:17:44,119 Speaker 1: that are anti street view, especially in Germany, and there 329 00:17:44,280 --> 00:17:47,040 Speaker 1: there's some there's some good reasons behind that. I mean, 330 00:17:47,200 --> 00:17:50,240 Speaker 1: there's there's a couple of villages in England that object 331 00:17:50,240 --> 00:17:52,600 Speaker 1: to Google street View because they say that it would 332 00:17:52,600 --> 00:17:56,320 Speaker 1: allow criminals to case their houses from the comfort of 333 00:17:56,359 --> 00:17:58,159 Speaker 1: their own home. They wouldn't have to you know, they 334 00:17:58,160 --> 00:18:00,000 Speaker 1: wouldn't be you know, you wouldn't you would never notice 335 00:18:00,160 --> 00:18:03,120 Speaker 1: like that strange person who is lurking in a car 336 00:18:03,240 --> 00:18:05,360 Speaker 1: and has been sitting there for like five or six 337 00:18:05,359 --> 00:18:07,720 Speaker 1: minutes and you're wondering Okay, as this person checking out 338 00:18:07,760 --> 00:18:09,560 Speaker 1: my home to see if there's a way to break in, 339 00:18:10,119 --> 00:18:11,919 Speaker 1: you would never see that person because they could just 340 00:18:11,960 --> 00:18:14,080 Speaker 1: sit at home and look at that same image from 341 00:18:14,320 --> 00:18:17,040 Speaker 1: their computer and assuming they could find a way in 342 00:18:17,119 --> 00:18:19,760 Speaker 1: from the front, you know, or maybe the back if 343 00:18:19,840 --> 00:18:21,800 Speaker 1: if you have a road going right behind, or you know, 344 00:18:21,840 --> 00:18:24,480 Speaker 1: if you're on the corner lot or something. Um, then 345 00:18:25,280 --> 00:18:27,879 Speaker 1: there's a legitimate argument there saying, you know, you have 346 00:18:28,240 --> 00:18:32,120 Speaker 1: provided uh, these these people a chance to really look 347 00:18:32,160 --> 00:18:34,560 Speaker 1: at my house and possibly find a way in. Uh. 348 00:18:34,680 --> 00:18:37,439 Speaker 1: And some of the villages that that really objected to 349 00:18:37,480 --> 00:18:39,679 Speaker 1: Google street View. In fact, one of them, a a 350 00:18:39,680 --> 00:18:42,320 Speaker 1: group of sitisens formed a human chain and surrounded the 351 00:18:42,359 --> 00:18:44,199 Speaker 1: Google street View car would not allow it to go 352 00:18:44,240 --> 00:18:48,439 Speaker 1: into the village. Um. You know, they they point out 353 00:18:48,440 --> 00:18:50,280 Speaker 1: and says we've had a string of robberies and we 354 00:18:50,280 --> 00:18:52,399 Speaker 1: don't want it to get worse. Now, you could argue 355 00:18:52,440 --> 00:18:55,600 Speaker 1: that anyone at all could walk down the public street 356 00:18:55,640 --> 00:18:57,920 Speaker 1: and take photos and achieved the same thing. But then, 357 00:18:58,000 --> 00:19:00,720 Speaker 1: of course you've got the chance that since we'll see 358 00:19:00,720 --> 00:19:07,360 Speaker 1: that person just say hey, what what you doing exactly? Um? Yeah, 359 00:19:07,400 --> 00:19:09,840 Speaker 1: And they also wouldn't know when you were coming or going, 360 00:19:09,920 --> 00:19:16,440 Speaker 1: and you know, so lazy criminals really anyway, Um, but yeah, 361 00:19:16,480 --> 00:19:20,120 Speaker 1: and you were renting the height of the camera in Japan, uh, 362 00:19:20,160 --> 00:19:22,359 Speaker 1: they were asked to Google was asked to lower the 363 00:19:22,440 --> 00:19:26,000 Speaker 1: cameras because there are fences and the cameras would shoot 364 00:19:26,200 --> 00:19:29,399 Speaker 1: right over the fence and into people's yards, and they 365 00:19:29,400 --> 00:19:32,640 Speaker 1: didn't want The common complaint I heard was that now 366 00:19:32,680 --> 00:19:34,960 Speaker 1: people can see that, you know, my laundry as it's 367 00:19:35,000 --> 00:19:37,240 Speaker 1: hanging up. I'm thinking, well, they see it all the 368 00:19:37,280 --> 00:19:40,600 Speaker 1: time when it's on you. But I don't know, Maybe 369 00:19:41,000 --> 00:19:43,480 Speaker 1: maybe I'm just too practical that way. They probably didn't 370 00:19:43,480 --> 00:19:47,360 Speaker 1: want to get caught sunbathing, or getting arrested or urinating, 371 00:19:47,560 --> 00:19:50,679 Speaker 1: right right, all three of the same time. You know what, 372 00:19:52,440 --> 00:19:54,359 Speaker 1: I am not gonna lay out the challenge for text 373 00:19:54,359 --> 00:19:56,840 Speaker 1: stuff listeners, try and go out there and get Google 374 00:19:56,840 --> 00:19:59,280 Speaker 1: street you to take an image of them being arrested, sunbathing, 375 00:19:59,280 --> 00:20:01,160 Speaker 1: and urinating at the same time. But all you stuff 376 00:20:01,200 --> 00:20:05,760 Speaker 1: you shoulder, here's a direct challenge. No, I'm just kidding. 377 00:20:05,800 --> 00:20:08,800 Speaker 1: I'm just kidding that I don't I don't want any 378 00:20:08,800 --> 00:20:11,359 Speaker 1: phone calls saying, hey, this guy needs you to bail 379 00:20:11,440 --> 00:20:13,000 Speaker 1: him out because you're the one who convinced him to 380 00:20:13,000 --> 00:20:16,639 Speaker 1: get arrested. Yeah, yeah, well, um yeah, And in a 381 00:20:16,640 --> 00:20:20,080 Speaker 1: lot of these cases too, especially in countries where uh 382 00:20:20,320 --> 00:20:24,040 Speaker 1: whole governments have gotten involved in telling Google to stop 383 00:20:24,040 --> 00:20:28,840 Speaker 1: taking pictures or at least start trying harder to protect privacy. Um, 384 00:20:28,960 --> 00:20:34,640 Speaker 1: Google is is keeping images the originals pre blur um 385 00:20:34,800 --> 00:20:37,560 Speaker 1: for a less time. They're basically keeping them long enough 386 00:20:37,600 --> 00:20:41,120 Speaker 1: to blur them and then getting rid of the originals. Um. 387 00:20:41,520 --> 00:20:45,080 Speaker 1: And uh, you know, basically, they're they're trying to be 388 00:20:45,160 --> 00:20:50,679 Speaker 1: more diligent about blurring out identifiable personal information such as 389 00:20:50,720 --> 00:20:53,239 Speaker 1: faces and the license plate numbers of cars and and 390 00:20:53,280 --> 00:20:55,680 Speaker 1: things like that, trying to make themselves, I guess, a 391 00:20:55,720 --> 00:21:01,480 Speaker 1: little bit more friendly to organizations and company, right, people 392 00:21:01,520 --> 00:21:03,320 Speaker 1: who might object to them and complain to the government. 393 00:21:03,520 --> 00:21:05,800 Speaker 1: And you may wonder why does Google even do this 394 00:21:05,880 --> 00:21:08,639 Speaker 1: at all. Well, it's because their their mission is to 395 00:21:08,760 --> 00:21:14,000 Speaker 1: organize the world's information. And you might think, yeah, exactly, 396 00:21:14,560 --> 00:21:16,639 Speaker 1: But you might think, hey, I thought that just applied 397 00:21:16,640 --> 00:21:18,840 Speaker 1: to the Internet. Well, Google does not seem to think so. 398 00:21:19,480 --> 00:21:22,560 Speaker 1: Google thinks of the world's information as the world's information. 399 00:21:22,680 --> 00:21:25,080 Speaker 1: So really the Internet was just how they got started 400 00:21:25,880 --> 00:21:28,359 Speaker 1: that's kind of crazy, don't you think it's It's cool 401 00:21:28,400 --> 00:21:30,600 Speaker 1: in a way. But yeah, so I can see why 402 00:21:30,600 --> 00:21:32,960 Speaker 1: people would object. I mean, think about it this way. 403 00:21:33,000 --> 00:21:35,440 Speaker 1: If you, let's say the Google street View happens to 404 00:21:35,480 --> 00:21:38,840 Speaker 1: be going down your street the same week that you, 405 00:21:38,840 --> 00:21:40,919 Speaker 1: you know, you've just put off mowing the lawn for 406 00:21:41,040 --> 00:21:43,920 Speaker 1: one more week because you just it's it's super hot. 407 00:21:44,040 --> 00:21:45,880 Speaker 1: You you wanted to see if the heat right wave 408 00:21:45,880 --> 00:21:49,879 Speaker 1: will break, but right now your lawn looks really crappy. 409 00:21:50,160 --> 00:21:51,919 Speaker 1: Then later on, you decided to put your house up 410 00:21:51,960 --> 00:21:53,960 Speaker 1: for sale, and you put up an ad, and someone 411 00:21:53,960 --> 00:21:56,640 Speaker 1: decides to check out Google street View to see what 412 00:21:56,720 --> 00:21:58,920 Speaker 1: that house looks like. And they happen to see your 413 00:21:58,960 --> 00:22:01,760 Speaker 1: house back when you didn't mow that lawn, and it's 414 00:22:01,760 --> 00:22:05,560 Speaker 1: all shaggy and nasty, and everyone's thinking, you know, I'll 415 00:22:05,600 --> 00:22:08,440 Speaker 1: just keep looking for another house. And they're not really 416 00:22:08,480 --> 00:22:10,600 Speaker 1: seeing your house the way it actually is. They're just 417 00:22:10,640 --> 00:22:12,840 Speaker 1: seeing it at one moment in time. But that moment 418 00:22:12,840 --> 00:22:16,240 Speaker 1: could represent, you know, their their moment of deciding whether 419 00:22:16,320 --> 00:22:19,080 Speaker 1: or not they want to even pursue buying your house. Yeah, 420 00:22:19,240 --> 00:22:23,600 Speaker 1: I've heard that argument made, So there you go. I'm 421 00:22:23,600 --> 00:22:25,880 Speaker 1: not gonna give you my address, so you can't. There's 422 00:22:25,920 --> 00:22:28,080 Speaker 1: no way you're gonna I'm not going to share that. 423 00:22:28,240 --> 00:22:30,000 Speaker 1: I don't want people looking at my house on Google 424 00:22:30,080 --> 00:22:32,640 Speaker 1: street you. If you're curious to see if they've been 425 00:22:32,680 --> 00:22:35,359 Speaker 1: down your street, you can tell on Google Maps there's 426 00:22:35,760 --> 00:22:39,400 Speaker 1: a blue line um that that shows you the streets 427 00:22:39,760 --> 00:22:42,280 Speaker 1: that they have actually gone and taking pictures down. And 428 00:22:42,359 --> 00:22:45,440 Speaker 1: I've actually found Google street you to be incredibly useful, 429 00:22:45,720 --> 00:22:51,200 Speaker 1: especially on my my phone, my smartphone, because um, I 430 00:22:51,200 --> 00:22:53,480 Speaker 1: I tend to travel by foot quite a quite a bit, 431 00:22:53,680 --> 00:22:56,080 Speaker 1: and uh, when I go to a different city, I'll 432 00:22:56,080 --> 00:22:58,240 Speaker 1: often pull on the Google street you to make sure 433 00:22:58,280 --> 00:23:00,480 Speaker 1: that I am facing the right direction because of ocasionally, 434 00:23:00,480 --> 00:23:02,520 Speaker 1: you know, if I'm in a new city, I don't 435 00:23:02,520 --> 00:23:05,600 Speaker 1: necessarily have my bearings. I don't necessarily know which way 436 00:23:05,640 --> 00:23:08,960 Speaker 1: is north, although my phone does have a compass um 437 00:23:09,000 --> 00:23:11,000 Speaker 1: so I might not know the right direction to walk 438 00:23:11,040 --> 00:23:12,600 Speaker 1: in to get to wherever I'm going. You know, I 439 00:23:12,680 --> 00:23:14,520 Speaker 1: might take a train somewhere, but then I'm like, all right, 440 00:23:14,560 --> 00:23:16,320 Speaker 1: well where do I go from here? Is just go 441 00:23:16,480 --> 00:23:18,239 Speaker 1: north on the street, but I don't know which way 442 00:23:18,280 --> 00:23:20,639 Speaker 1: north is. Google street is very useful because you can 443 00:23:20,680 --> 00:23:24,160 Speaker 1: actually follow the route and see the landmarks that are there, 444 00:23:24,240 --> 00:23:27,480 Speaker 1: and it makes getting around a lot easier, you know, 445 00:23:27,520 --> 00:23:29,120 Speaker 1: if you're if you're one of those people who uses 446 00:23:29,240 --> 00:23:32,720 Speaker 1: visual landmarks like I do. Yeah, that's that's Uh. People 447 00:23:32,720 --> 00:23:35,240 Speaker 1: seem to object to it less when they're they're mapping 448 00:23:35,680 --> 00:23:39,159 Speaker 1: uh you know, downtowns and and places where they're not 449 00:23:39,240 --> 00:23:43,840 Speaker 1: residential locations corporate locations, um, you know, because they it 450 00:23:43,960 --> 00:23:46,639 Speaker 1: is useful to find your way around, um. And it's 451 00:23:46,680 --> 00:23:49,520 Speaker 1: kind of useful for archival purposes too. I've seen before 452 00:23:49,520 --> 00:23:53,040 Speaker 1: and after pictures represented in a couple of ocations of 453 00:23:53,080 --> 00:23:58,760 Speaker 1: places that have closed obviously recently. Um, so that that's 454 00:23:58,800 --> 00:24:00,400 Speaker 1: kind of neat to to, you know, sort of get 455 00:24:00,400 --> 00:24:02,560 Speaker 1: that nostalgic. Oh yeah, I remember when the street used 456 00:24:02,600 --> 00:24:04,880 Speaker 1: to look like that. But yeah, yeah, when it comes 457 00:24:04,920 --> 00:24:08,240 Speaker 1: to residential streets, it's a much more contentious issue. Yeah. 458 00:24:08,600 --> 00:24:10,440 Speaker 1: I'm looking forward to the time where they start doing 459 00:24:10,440 --> 00:24:17,440 Speaker 1: Google street View for historic era they just reconstruct the town. Well, 460 00:24:17,480 --> 00:24:19,720 Speaker 1: you know they've done that with Google Earth, where they've 461 00:24:19,720 --> 00:24:23,400 Speaker 1: built they've built these three D models of ancient cities 462 00:24:23,480 --> 00:24:25,399 Speaker 1: and put them on Google Earth, so you can actually 463 00:24:25,480 --> 00:24:28,760 Speaker 1: view like ancient Rome on Google Earth and see what 464 00:24:28,800 --> 00:24:31,119 Speaker 1: the streets are are We're like back then. Now, granted 465 00:24:31,160 --> 00:24:34,040 Speaker 1: you're looking at computer models, you're not looking at photos. 466 00:24:34,040 --> 00:24:36,680 Speaker 1: Obviously no one was around back then to take photos. 467 00:24:36,680 --> 00:24:39,640 Speaker 1: Turns out, um, they they didn't have the technology. They're 468 00:24:39,680 --> 00:24:42,880 Speaker 1: actually people around, they just didn't have any cameras, right. 469 00:24:43,359 --> 00:24:47,960 Speaker 1: So anyway, Kimmy Kimmy was also asking about, um, how 470 00:24:48,119 --> 00:24:50,320 Speaker 1: how Google Earth gets all of its photos because Google 471 00:24:50,320 --> 00:24:53,480 Speaker 1: street View they get their photos from these cars driving around. 472 00:24:53,520 --> 00:24:56,080 Speaker 1: But well they launched the cars into space. Yeah, no, 473 00:24:56,240 --> 00:24:59,160 Speaker 1: that's not how it works. Um, what what Google Earth 474 00:24:59,200 --> 00:25:01,040 Speaker 1: does but a camera on the Space shuttle on the 475 00:25:01,080 --> 00:25:07,200 Speaker 1: top and fly it around. No. What Google Earth does 476 00:25:07,480 --> 00:25:09,760 Speaker 1: is they get a very small hedgehog and a very 477 00:25:09,800 --> 00:25:13,960 Speaker 1: large rubber band. No, no, that's not what happens. What 478 00:25:14,080 --> 00:25:17,800 Speaker 1: Google Earth does is they purchase satellite imagery from a 479 00:25:17,840 --> 00:25:20,720 Speaker 1: couple of different companies. These are companies that obviously have 480 00:25:20,760 --> 00:25:23,640 Speaker 1: satellites out in orbit around the Earth, and they are 481 00:25:23,720 --> 00:25:27,520 Speaker 1: taking high resolution photos satellite images of the Earth, and 482 00:25:27,840 --> 00:25:30,800 Speaker 1: Google just purchases them and then put them together and 483 00:25:31,440 --> 00:25:35,200 Speaker 1: um updates them every so often. So if you look 484 00:25:35,240 --> 00:25:38,280 Speaker 1: at Google Earth and you look up at a specific 485 00:25:38,359 --> 00:25:40,760 Speaker 1: location something. Let's let's say that there's been a building 486 00:25:40,800 --> 00:25:43,919 Speaker 1: that's that's just been built within the last year. If 487 00:25:43,960 --> 00:25:46,040 Speaker 1: you look at the image on Google Earth, you may see, 488 00:25:46,359 --> 00:25:48,919 Speaker 1: you know, either a different thing where that building is, 489 00:25:49,000 --> 00:25:52,800 Speaker 1: or perhaps just an empty lot um. You won't necessarily 490 00:25:52,840 --> 00:25:56,720 Speaker 1: see the most current photo because these you know, satellites, 491 00:25:56,760 --> 00:25:59,840 Speaker 1: they only take images every so often over a certain area. 492 00:26:00,480 --> 00:26:03,520 Speaker 1: So the images tend to lag behind by a couple 493 00:26:03,520 --> 00:26:05,920 Speaker 1: of years on Google Earth. But that's all they get them. 494 00:26:05,920 --> 00:26:09,119 Speaker 1: They get them from these satellite companies. Well, that was 495 00:26:09,440 --> 00:26:11,960 Speaker 1: a lot less dramatic than I was hoping for. So 496 00:26:12,040 --> 00:26:17,080 Speaker 1: the hedgehog is screaming through the stratosphere taking photos furiously. Yeah, 497 00:26:17,119 --> 00:26:20,480 Speaker 1: you should see re entry. Talk about screaming. I only 498 00:26:20,520 --> 00:26:22,760 Speaker 1: say there's a flash based game where you launch a 499 00:26:22,800 --> 00:26:25,320 Speaker 1: hedgehog to Mars, which is why that I thought immediately 500 00:26:25,320 --> 00:26:29,160 Speaker 1: occurred to me. It's awesome. Okay, that's very cute little hedgehog. 501 00:26:30,000 --> 00:26:35,000 Speaker 1: He enjoys it. Yeah, he's waving the whole So well, 502 00:26:35,000 --> 00:26:36,800 Speaker 1: I guess that pretty much wrapped up Google Street, you 503 00:26:36,920 --> 00:26:41,960 Speaker 1: don't you think, Thank god? Alright, So, um, if you 504 00:26:41,960 --> 00:26:44,160 Speaker 1: guys have any other questions, if you have any suggestions 505 00:26:44,160 --> 00:26:47,800 Speaker 1: for episodes or comments, criticisms, that sort of thing. You 506 00:26:47,840 --> 00:26:50,720 Speaker 1: can write us. Our email address is tech stuff at 507 00:26:50,760 --> 00:26:53,000 Speaker 1: how stuff works dot com. Do you want to put 508 00:26:53,000 --> 00:26:54,960 Speaker 1: in the disclaimer one more time? I'm going to put 509 00:26:54,960 --> 00:26:58,520 Speaker 1: in the disclaimer that if you have a technical support issue, 510 00:26:58,560 --> 00:27:01,120 Speaker 1: we're probably not the best people to come type, because one, 511 00:27:01,200 --> 00:27:03,399 Speaker 1: we're really busy doing all kinds of other things like 512 00:27:03,440 --> 00:27:06,639 Speaker 1: writing and editing. Um, and to tech support questions are 513 00:27:06,640 --> 00:27:08,520 Speaker 1: the kind of things that you need somebody to walk 514 00:27:08,720 --> 00:27:11,800 Speaker 1: through the process, whether you're figuring out why your computer 515 00:27:11,840 --> 00:27:14,719 Speaker 1: can't see your hard drive or or where all your 516 00:27:14,800 --> 00:27:17,360 Speaker 1: data went after you spilled the container of grape juice 517 00:27:17,359 --> 00:27:20,040 Speaker 1: on your machine. So um, you know, you probably should 518 00:27:20,040 --> 00:27:24,240 Speaker 1: contact an actual tech support professional, especially if you're in 519 00:27:24,280 --> 00:27:27,199 Speaker 1: a hurry. Uh. Not that we don't love hearing from you, 520 00:27:27,280 --> 00:27:28,760 Speaker 1: but those are the kinds of questions that are much 521 00:27:28,800 --> 00:27:30,800 Speaker 1: harder for us to ask because you know, we can't 522 00:27:30,880 --> 00:27:34,520 Speaker 1: find that in some technical articles, and we're not we're 523 00:27:34,560 --> 00:27:37,240 Speaker 1: not necessarily experts on every technical system that has ever 524 00:27:37,280 --> 00:27:39,800 Speaker 1: come out. Oh fine, go ahead and tell them no, 525 00:27:39,920 --> 00:27:41,159 Speaker 1: I kind of just go ahead and get that all 526 00:27:41,160 --> 00:27:43,640 Speaker 1: the way. But otherwise, write us at tech stuff at 527 00:27:43,640 --> 00:27:46,000 Speaker 1: how stuff works dot com. Remember, you can learn all 528 00:27:46,040 --> 00:27:48,760 Speaker 1: about Google and all things Google at how stuff works 529 00:27:48,800 --> 00:27:52,120 Speaker 1: dot com. And we will talk to you again really soon. 530 00:27:53,880 --> 00:27:56,280 Speaker 1: For more on this and thousands of other topics. Is 531 00:27:56,320 --> 00:27:59,639 Speaker 1: it how stuff works dot com. And be sure to 532 00:27:59,720 --> 00:28:01,960 Speaker 1: check the new tech stuff blog now on the house 533 00:28:01,960 --> 00:28:09,080 Speaker 1: stuff Works homepage, brought to you by the reinvented two 534 00:28:09,119 --> 00:28:11,600 Speaker 1: thousand twelve camera. It's ready, are you