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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:07,469 --> 00:00:09,905 [narrator] On this episode of How Tech Works... 2 00:00:10,339 --> 00:00:12,074 We're going to check out the latest 3 00:00:12,174 --> 00:00:14,443 in facial recognition technology. 4 00:00:15,277 --> 00:00:18,914 And... we'll meet a couple of grown-up rocket boys 5 00:00:19,147 --> 00:00:21,517 who take their hobby very seriously. 6 00:00:22,017 --> 00:00:24,286 [show intro] 7 00:00:28,190 --> 00:00:30,926 [futuristic music] 8 00:00:37,065 --> 00:00:39,668 Hi there! I'm Basil Singer, and you are in for 9 00:00:39,735 --> 00:00:43,305 one incredibly "out there" episode of How Tech Works . 10 00:00:43,739 --> 00:00:45,874 We're going to meet a former secret operative 11 00:00:46,175 --> 00:00:49,444 from the British government with the keys to the X-files. 12 00:00:49,511 --> 00:00:53,515 Plus, we'll see how CT scans are saving soldiers' lives, 13 00:00:53,582 --> 00:00:55,851 in real time on the battlefield. 14 00:00:56,084 --> 00:00:57,119 But first, 15 00:00:57,452 --> 00:01:00,088 Imagine, if you will, a typical day in London. 16 00:01:00,522 --> 00:01:04,092 You wake up, grab a coffee, dash to the tube, go to work, 17 00:01:04,459 --> 00:01:06,895 pick up dinner, and grab a cab home. 18 00:01:07,162 --> 00:01:11,633 In that time, guess how often you've been captured on CCTVs? 19 00:01:12,234 --> 00:01:14,169 Around 300! 20 00:01:14,603 --> 00:01:16,972 Facial recognition technology is getting 21 00:01:17,039 --> 00:01:20,809 more and more sophisticated. But things like time of day, 22 00:01:20,976 --> 00:01:23,345 and the direction you're facing can make it difficult 23 00:01:23,612 --> 00:01:26,081 for security officers to know that it's you. 24 00:01:26,315 --> 00:01:28,984 So we're going to catch up with a team in Bristol 25 00:01:29,184 --> 00:01:30,519 working to change that. 26 00:01:31,019 --> 00:01:32,621 [upbeat music] 27 00:01:32,688 --> 00:01:34,056 [narrator] If you think it's hard to pick out 28 00:01:34,122 --> 00:01:35,824 a particular face in a crowd? 29 00:01:36,258 --> 00:01:39,228 Try getting a computer to do it, and do it well. 30 00:01:39,461 --> 00:01:41,096 What we're trying to do is develop technology 31 00:01:41,163 --> 00:01:44,433 that's able to be more robust at recognizing a person's face. 32 00:01:44,833 --> 00:01:46,301 [narrator] Say hello to the new face 33 00:01:46,368 --> 00:01:47,669 of recognition software, 34 00:01:47,769 --> 00:01:50,005 set to change the way a computer sees you. 35 00:01:50,372 --> 00:01:52,140 If you think about the technology that's used now, 36 00:01:52,207 --> 00:01:54,710 what tends to happen is that a 2D image is captured 37 00:01:55,110 --> 00:01:56,545 and then various features are measured. 38 00:01:56,612 --> 00:01:58,180 So for example, length of a nose, 39 00:01:58,247 --> 00:01:59,381 the distance between the eyes. 40 00:02:00,148 --> 00:02:01,984 And ratios are taken of those features 41 00:02:02,050 --> 00:02:05,454 and used to form a signature that can recognize a person. 42 00:02:05,721 --> 00:02:06,822 [narrator] Melvyn Smith's team 43 00:02:06,889 --> 00:02:08,790 is trying to overcome one big problem. 44 00:02:08,891 --> 00:02:10,859 [Melvyn] If that person changes their expression, 45 00:02:10,993 --> 00:02:12,961 or changes the pose, looks to one side, 46 00:02:13,262 --> 00:02:14,696 or even if the lighting changes, 47 00:02:15,163 --> 00:02:17,132 then those sorts of systems can fail. 48 00:02:17,366 --> 00:02:18,467 [narrator] So together with colleagues 49 00:02:18,534 --> 00:02:21,770 at Imperial College London, they created PhotoFace. 50 00:02:21,970 --> 00:02:24,506 A system that gives computers a lot more to go on. 51 00:02:24,673 --> 00:02:26,475 [Melvyn] We illuminate the face in different ways, 52 00:02:26,542 --> 00:02:27,709 using different lighting set ups. 53 00:02:28,477 --> 00:02:30,846 [narrator] A camera shoots 500 frames per second. 54 00:02:31,246 --> 00:02:32,915 Its four lights are synchronized to go off 55 00:02:32,981 --> 00:02:35,751 in such quick succession it looks like a single flash. 56 00:02:35,817 --> 00:02:37,920 An ultrasound sensor triggers it. 57 00:02:38,754 --> 00:02:39,821 So I'm gonna pass through now. 58 00:02:41,323 --> 00:02:42,691 Just like that. So just a simple stroll through. 59 00:02:42,758 --> 00:02:45,694 Nothing complicated. And what it's doing now 60 00:02:45,761 --> 00:02:46,862 is just a little bit of processing 61 00:02:46,929 --> 00:02:49,031 to estimate my shape. And there you can see, 62 00:02:49,097 --> 00:02:51,500 it's estimated my shape. And hopefully, there you go, 63 00:02:51,567 --> 00:02:52,668 it's recognized who I am, 64 00:02:52,868 --> 00:02:54,136 so it knows that I can pass through. 65 00:02:54,670 --> 00:02:56,572 [narrator] PhotoFace takes four images, 66 00:02:56,638 --> 00:02:59,775 lit at different angles, and compiles them into one. 67 00:03:00,275 --> 00:03:03,212 So this is four raw images of me that we captured before. 68 00:03:03,612 --> 00:03:06,081 and we have to convert that into shape information. 69 00:03:06,281 --> 00:03:08,050 What it's showing is that the blue areas 70 00:03:08,116 --> 00:03:09,818 are at a grazing angle to the camera, like that, 71 00:03:09,885 --> 00:03:11,653 and then the green areas are more parallel, 72 00:03:11,720 --> 00:03:13,088 and then red areas are that way. 73 00:03:13,622 --> 00:03:14,690 It's just a way of visualizing it. 74 00:03:14,756 --> 00:03:16,859 But essentially what we have is the orientation 75 00:03:16,925 --> 00:03:19,061 of the skin at each point on the image. 76 00:03:19,127 --> 00:03:21,263 What that means is we can capture very fine, 77 00:03:21,330 --> 00:03:23,432 textural features on the face, the wrinkles, the pores, 78 00:03:23,498 --> 00:03:25,234 all the blemishes that we naturally have, 79 00:03:25,367 --> 00:03:26,835 we can capture all that detail. 80 00:03:26,902 --> 00:03:29,171 So in addition to capturing the shape of the face, 81 00:03:29,471 --> 00:03:31,073 we can also use those blemishes 82 00:03:31,139 --> 00:03:33,876 as a kind of signature to recognize someone. 83 00:03:34,276 --> 00:03:36,144 [narrator] The system recognizes faces, 84 00:03:36,278 --> 00:03:37,646 even under changing light. 85 00:03:38,046 --> 00:03:39,715 If we change the lighting conditions, 86 00:03:39,982 --> 00:03:41,617 doesn't make any difference. If the sun's out, 87 00:03:41,683 --> 00:03:43,519 we can take that into consideration. 88 00:03:43,585 --> 00:03:45,120 That doesn't change the 3D shape. 89 00:03:45,487 --> 00:03:47,623 As long as we know where these raw images are from, 90 00:03:48,023 --> 00:03:50,025 the 3D shape of my face is constant. 91 00:03:50,526 --> 00:03:52,461 Could you just move slowly your lips? 92 00:03:53,629 --> 00:03:54,730 [narrator] Across the hall, 93 00:03:54,796 --> 00:03:56,732 colleagues are working on a 4D system. 94 00:03:56,865 --> 00:04:00,702 It's a variation on PhotoFace, using strobe lights instead. 95 00:04:01,904 --> 00:04:05,007 We are going to capture the face of somebody, 96 00:04:05,073 --> 00:04:08,410 and then use that information to create 3D, 97 00:04:08,610 --> 00:04:10,112 but we'll do it in real time. 98 00:04:10,779 --> 00:04:12,181 [narrator] They can look at the changing face 99 00:04:12,247 --> 00:04:13,248 any way they want. 100 00:04:13,815 --> 00:04:16,285 it allows us to have high resolution information 101 00:04:16,351 --> 00:04:18,687 so we could zoom on parts of the face. 102 00:04:18,754 --> 00:04:20,222 and have a closer look at it. 103 00:04:21,356 --> 00:04:23,559 That also opens up possibilities in biometrics, 104 00:04:23,625 --> 00:04:26,962 because we might be able to use the way in which 105 00:04:27,029 --> 00:04:28,597 a person smiles as a biometric. 106 00:04:28,664 --> 00:04:30,365 For example, the way you and I smile 107 00:04:30,432 --> 00:04:31,800 is probably subtly different, 108 00:04:31,900 --> 00:04:33,869 the way the smile develops across the face. 109 00:04:34,203 --> 00:04:36,772 So, that in itself could be a useful biometric. 110 00:04:38,407 --> 00:04:39,975 [narrator] Systems like this make it easier 111 00:04:40,042 --> 00:04:43,078 for security teams to identify a suspect in a crowd. 112 00:04:43,445 --> 00:04:45,247 Because they can alter the image-on-file 113 00:04:45,314 --> 00:04:46,348 for comparison. 114 00:04:46,915 --> 00:04:48,851 [Melvyn] So, the person you see in the crowd 115 00:04:49,117 --> 00:04:51,753 may be standing to one side so their face isn't clear, 116 00:04:51,920 --> 00:04:53,488 and the lighting may not be ideal. 117 00:04:53,722 --> 00:04:55,524 So what you could do is take the model that you have 118 00:04:55,591 --> 00:04:58,160 of that person's face, and then synthetically alter 119 00:04:58,227 --> 00:05:00,062 that model to match the face in the crowd. 120 00:05:00,329 --> 00:05:01,663 So you would alter the direction in which 121 00:05:01,730 --> 00:05:02,764 it is looking, 122 00:05:02,831 --> 00:05:04,366 alter the lighting that's applied to it, 123 00:05:04,600 --> 00:05:06,001 to make it as similar as possible 124 00:05:06,068 --> 00:05:08,270 to what you're actually seeing, and then look for a match. 125 00:05:08,737 --> 00:05:10,806 [narrator] It could also be used in the movie business. 126 00:05:11,106 --> 00:05:13,308 [Melvyn] If you think of what you see at the cinema nowadays, 127 00:05:13,509 --> 00:05:15,577 it's very impressive. You go to see a 3D movie, 128 00:05:15,644 --> 00:05:18,313 it looks very realistic, but it's not interactive. 129 00:05:18,747 --> 00:05:20,349 So if you move your head to one side, 130 00:05:21,016 --> 00:05:22,851 things don't change as they do in the real world. 131 00:05:23,785 --> 00:05:25,621 And also different people in different locations 132 00:05:25,687 --> 00:05:27,823 in the cinema would be able to see different things. 133 00:05:27,956 --> 00:05:29,925 So what we want to be able to do is capture something 134 00:05:29,992 --> 00:05:32,227 that's much more immersive and much more realistic. 135 00:05:32,895 --> 00:05:34,196 [narrator] In the more immediate future, 136 00:05:34,530 --> 00:05:36,532 4D imaging could change lives. 137 00:05:36,999 --> 00:05:39,067 So the idea is that we could have some technology 138 00:05:39,168 --> 00:05:40,936 like this, that a general practitioner 139 00:05:41,003 --> 00:05:43,372 could use, to capture a very accurate 140 00:05:43,438 --> 00:05:46,341 and very realistic description of a skin condition, 141 00:05:46,408 --> 00:05:48,677 and then send that over the internet to a specialist 142 00:05:48,744 --> 00:05:51,446 in a remote location, who could interact with that 143 00:05:51,847 --> 00:05:53,482 as though they were with the patient. 144 00:05:54,183 --> 00:05:55,717 [narrator] All of which adds up to imaging 145 00:05:55,784 --> 00:05:59,288 that's almost... almost... better than the real thing. 146 00:06:04,226 --> 00:06:07,663 And speaking of real things, when it comes to rockets, 147 00:06:07,729 --> 00:06:09,598 it's hard to top the Saturn rockets 148 00:06:09,665 --> 00:06:12,034 used by NASA in the '60s and '70s. 149 00:06:12,267 --> 00:06:15,170 But while those behemoths are now a thing of the past, 150 00:06:15,470 --> 00:06:17,539 I want you to meet a group of rocketeers 151 00:06:17,706 --> 00:06:20,909 who are scaling things down, and having a real blast! 152 00:06:20,976 --> 00:06:22,578 See what I did there? Have a look. 153 00:06:24,279 --> 00:06:25,681 [voice on radio] Ignition. [rocket blasting] 154 00:06:25,747 --> 00:06:27,449 [narrator] The last time the Apollo launched, 155 00:06:27,649 --> 00:06:29,618 it was more than 40 years ago. 156 00:06:31,086 --> 00:06:33,188 But at this farm in Bethesda, Maryland, 157 00:06:33,388 --> 00:06:34,857 two men have their sights set on 158 00:06:34,923 --> 00:06:37,759 re-living and re-igniting history 159 00:06:38,160 --> 00:06:39,928 [man] It goes all the way back to fourth grade. 160 00:06:39,995 --> 00:06:42,231 One of the kids' older brother came in and launched 161 00:06:42,297 --> 00:06:45,334 a bunch of Estes, A, B and C rockets 162 00:06:45,400 --> 00:06:47,970 out in the field behind the school, 163 00:06:48,470 --> 00:06:50,072 and something just clicked in my head. 164 00:06:50,506 --> 00:06:52,207 -Okay, hold on a minute. -Okay. 165 00:06:53,175 --> 00:06:57,112 I know I used to watch all of the space launches on TV 166 00:06:57,179 --> 00:06:59,815 back in the '70s, so... 167 00:07:00,516 --> 00:07:02,684 I've been interested in it for years. 168 00:07:02,885 --> 00:07:04,720 [narrator] Steve Eves and Vern Hoag 169 00:07:04,786 --> 00:07:07,890 are gadget wielding, blast testing rocketeers. 170 00:07:07,956 --> 00:07:10,058 [rocket roars] 171 00:07:10,893 --> 00:07:13,529 The kind that spend thousands of hours tinkering 172 00:07:13,595 --> 00:07:16,865 with every detail of building a scale model rocket. 173 00:07:17,966 --> 00:07:20,969 [energetic rock music] 174 00:07:22,571 --> 00:07:25,274 [Vern] The ultimate payoff is to put a smile on your face. 175 00:07:25,340 --> 00:07:26,742 This is all for bragging rights, 176 00:07:27,009 --> 00:07:28,143 just to say you did it. 177 00:07:28,210 --> 00:07:30,312 These guys have thousands of dollars 178 00:07:30,379 --> 00:07:33,515 tied up in these rockets, and they're doing it 179 00:07:33,916 --> 00:07:35,117 just because it's cool. 180 00:07:35,751 --> 00:07:37,486 [narrator] Today's launch features a pair 181 00:07:37,719 --> 00:07:39,454 of Saturn 1B replicas. 182 00:07:40,689 --> 00:07:41,990 [voice on radio] Ignition. [rocket blasting] 183 00:07:42,057 --> 00:07:44,593 They're one ninth the size of the original Apollo. 184 00:07:45,227 --> 00:07:47,095 Both Steve and Vern started working 185 00:07:47,162 --> 00:07:50,199 on their identical rockets nearly two years ago. 186 00:07:50,666 --> 00:07:52,935 We actually did not know that the other was building 187 00:07:53,001 --> 00:07:54,002 these rockets until we were about 188 00:07:54,069 --> 00:07:55,504 six months into the project. 189 00:07:56,505 --> 00:07:59,441 Alright, powering up arch number three, 190 00:07:59,508 --> 00:08:02,477 check the continuity on the pre-tensioner. 191 00:08:03,946 --> 00:08:06,882 [narrator] The weight of this rocket is 400 kilograms. 192 00:08:07,783 --> 00:08:09,818 When assembled and prepped for launch, 193 00:08:10,085 --> 00:08:12,120 they each stand eight meters tall. 194 00:08:13,055 --> 00:08:14,389 It's going to be fun, yeah. 195 00:08:14,623 --> 00:08:15,657 It's something you'll never forget! 196 00:08:15,724 --> 00:08:17,226 We drove all the way from Connecticut. 197 00:08:17,392 --> 00:08:18,393 Did you really? 198 00:08:18,727 --> 00:08:19,995 [narrator] It's not a cheap hobby. 199 00:08:20,262 --> 00:08:22,998 [Vern] If you woke up and just wanted to do this one day, 200 00:08:23,332 --> 00:08:26,969 it's about $15,000 to fly something like this one time. 201 00:08:27,302 --> 00:08:28,837 [narrator] The electrical components that trigger 202 00:08:28,904 --> 00:08:31,874 the launch and collect the data are key. 203 00:08:31,940 --> 00:08:35,043 The amount of electronics is absolutely phenomenal. 204 00:08:35,110 --> 00:08:38,180 We have approximately ten onboard computers 205 00:08:38,981 --> 00:08:41,984 that are extremely expensive. Recovery is paramount. 206 00:08:42,784 --> 00:08:44,253 [narrator] Time for Vern's launch. 207 00:08:44,553 --> 00:08:46,255 -Ready under feet, Mike? -Ready. 208 00:08:46,488 --> 00:08:50,325 [voice on PA] Go in three, two, one, ignition! 209 00:08:50,425 --> 00:08:52,694 [rocket engine roars] 210 00:08:54,730 --> 00:08:57,032 [rock music] 211 00:08:57,099 --> 00:08:58,467 [man and woman] Oh, no! No! 212 00:09:01,136 --> 00:09:04,406 [several voices] Heads up! Heads up! 213 00:09:06,141 --> 00:09:08,911 [voice on PA] Stand clear! Do not try and touch the rocket! 214 00:09:08,977 --> 00:09:11,313 [man] That big booster's coming down right by us. 215 00:09:16,385 --> 00:09:19,021 [Vern] I guess I wish I knew what happened more. 216 00:09:19,454 --> 00:09:20,656 [narrator] That's pretty tough. 217 00:09:20,989 --> 00:09:23,458 Vern's rocket drag separated, literally 218 00:09:23,659 --> 00:09:25,561 pulling the two rocket sections apart 219 00:09:25,861 --> 00:09:27,329 a lot earlier than it should have. 220 00:09:27,729 --> 00:09:31,600 Then, the parachutes slid out early, and it became unbalanced. 221 00:09:32,467 --> 00:09:33,602 In mere seconds, 222 00:09:33,936 --> 00:09:36,471 thousands of hours and dollars are blown apart. 223 00:09:37,339 --> 00:09:39,174 It hasn't soaked in yet. 224 00:09:40,042 --> 00:09:42,444 I don't know, I might just build another one. 225 00:09:42,511 --> 00:09:44,479 We'll pick it up and see what we can come up with. 226 00:09:46,415 --> 00:09:48,750 [narrator] Now Steve has even more pressure 227 00:09:48,817 --> 00:09:50,085 weighing on his rocket. 228 00:09:50,385 --> 00:09:54,523 The blood pressure is going up, butterflies are in the stomach, 229 00:09:54,590 --> 00:09:55,891 there's a whole herd of them in there. 230 00:09:56,992 --> 00:09:58,594 [narrator] All pre-systems checked, 231 00:09:58,660 --> 00:10:01,363 and another Saturn 1B rocket ready for launch. 232 00:10:02,331 --> 00:10:05,601 [voice on PA] Okay folks, it's time. 233 00:10:05,834 --> 00:10:12,841 Three, two, one, ignition! [rocket engine roars] 234 00:10:13,909 --> 00:10:16,578 [rock music] 235 00:10:19,615 --> 00:10:22,951 [Steve] We got two chutes! Yes! Yes! 236 00:10:24,186 --> 00:10:25,287 We got two chutes! 237 00:10:25,921 --> 00:10:27,556 [narrator] This time, success. 238 00:10:28,490 --> 00:10:30,926 I feel great, rocket's basically intact. 239 00:10:30,993 --> 00:10:33,295 We may have a little bit of damage, but it flew good. 240 00:10:33,362 --> 00:10:34,663 Nobody was hurt, we had a great flight. 241 00:10:35,097 --> 00:10:36,098 Everything's good. 242 00:10:36,899 --> 00:10:38,934 [narrator] Two endings. Not all happy, 243 00:10:39,201 --> 00:10:42,738 but these rocketeers are in it for the thrill, no matter what. 244 00:10:43,272 --> 00:10:45,941 I will rebuild this and it will fly again. 245 00:10:47,276 --> 00:10:48,544 [Steve] One thing about this hobby is, 246 00:10:48,610 --> 00:10:50,946 if you can't handle crashing them, don't fly them. 247 00:10:51,280 --> 00:10:53,148 That is, in fact, part of the hobby. 248 00:10:53,215 --> 00:10:55,350 It's a rocket. Nobody knows what's going to happen 249 00:10:55,417 --> 00:10:56,518 until you hit the button. 250 00:11:00,722 --> 00:11:04,293 Don't you move! We've got lots more How Tech Works 251 00:11:04,359 --> 00:11:05,827 coming up after the break. 252 00:11:08,931 --> 00:11:11,900 [futuristic music] 253 00:11:13,368 --> 00:11:16,638 Welcome back to How Tech Works . I'm Basil Singer. 254 00:11:16,872 --> 00:11:20,876 Now, our next story takes us deep into the paranormal. 255 00:11:21,143 --> 00:11:23,712 You're about to meet a man who spent his career 256 00:11:23,779 --> 00:11:27,149 investigating UFO sightings for the British government. 257 00:11:27,516 --> 00:11:30,118 You're about to see how the most skeptical 258 00:11:30,185 --> 00:11:33,322 of the non-believers among us must finally admit 259 00:11:33,522 --> 00:11:35,891 there is actually something out there. 260 00:11:35,991 --> 00:11:38,393 Well, have a look and decide for yourselves. 261 00:11:40,863 --> 00:11:42,497 [narrator] Before there was Fox Mulder, 262 00:11:42,631 --> 00:11:43,832 there was Nick Pope. 263 00:11:43,932 --> 00:11:46,401 My job was to investigate 264 00:11:46,668 --> 00:11:49,137 the two or three hundred UFO sightings 265 00:11:49,204 --> 00:11:51,139 that were reported every year, 266 00:11:51,406 --> 00:11:54,510 to see if there was evidence of any potential threat 267 00:11:54,576 --> 00:11:55,944 to the United Kingdom, 268 00:11:56,011 --> 00:11:58,614 or anything of more general defense interest. 269 00:11:58,680 --> 00:12:00,849 [narrator] When the Ministry of Defense decided to open 270 00:12:00,916 --> 00:12:02,951 a UFO investigation division, 271 00:12:03,151 --> 00:12:05,087 Nick Pope got the call to lead it. 272 00:12:05,153 --> 00:12:08,323 At first, I was a little worried that this would look 273 00:12:08,490 --> 00:12:10,592 rather odd on my CV. 274 00:12:11,026 --> 00:12:14,563 But of course I found the whole subject intriguing. 275 00:12:15,097 --> 00:12:17,366 [narrator] He was the first official investigator, 276 00:12:17,466 --> 00:12:19,101 but he had lots to work with. 277 00:12:19,635 --> 00:12:23,005 The Ministry of Defense's UFO project goes right back 278 00:12:23,071 --> 00:12:24,740 to the 1950s. 279 00:12:25,207 --> 00:12:28,577 The thought was that however crazy some of the stories 280 00:12:28,644 --> 00:12:31,713 about flying saucers sounded, if there was something 281 00:12:31,780 --> 00:12:35,217 operating in our airspace, we ought to know what it was. 282 00:12:35,284 --> 00:12:37,186 [narrator] Most of the documents are now housed 283 00:12:37,252 --> 00:12:38,420 at the national archives. 284 00:12:38,887 --> 00:12:41,723 There are tens of thousands of pages 285 00:12:41,790 --> 00:12:43,825 of documentation on UFOs. 286 00:12:44,193 --> 00:12:46,495 This includes over 12,000 287 00:12:46,562 --> 00:12:49,631 sighting reports that the MOD received over the years. 288 00:12:49,998 --> 00:12:51,900 [narrator] Including a memo from Britain's 289 00:12:51,967 --> 00:12:54,903 most famous civil servant, Winston Churchill. 290 00:12:55,704 --> 00:12:57,005 [Winston Churchill's voice] What does all this stuff 291 00:12:57,072 --> 00:12:58,941 about flying saucers amount to? 292 00:12:59,374 --> 00:13:01,810 What can it mean? What is the truth? 293 00:13:02,511 --> 00:13:05,013 Let me have a report at your convenience. 294 00:13:05,781 --> 00:13:08,116 [narrator] Investigating the paranormal is like 295 00:13:08,183 --> 00:13:11,119 working a cold case. Going through old files 296 00:13:11,320 --> 00:13:13,021 and re-interviewing witnesses. 297 00:13:13,388 --> 00:13:15,791 From there, it's a process of elimination. 298 00:13:16,158 --> 00:13:19,962 [Nick] Let's check the flight paths, weather balloon launches, 299 00:13:20,362 --> 00:13:24,399 satellites, meteors, all the sorts of things 300 00:13:24,466 --> 00:13:28,103 that you know give rise to misidentifications. 301 00:13:28,370 --> 00:13:30,606 [narrator] Nick found that 80% of the reports 302 00:13:30,672 --> 00:13:34,476 have rational explanations. Others remain a mystery. 303 00:13:34,676 --> 00:13:37,479 In around 15% of cases, 304 00:13:37,646 --> 00:13:40,015 there was insufficient information to come to 305 00:13:40,082 --> 00:13:44,353 a definite opinion, leaving 5% genuinely unknown. 306 00:13:44,686 --> 00:13:47,289 [narrator] UFOs are seen by all kinds of people. 307 00:13:47,556 --> 00:13:49,157 But some witnesses are considered 308 00:13:49,224 --> 00:13:50,826 more reliable than others. 309 00:13:51,126 --> 00:13:54,329 Inevitably, the ones that were of particular interest 310 00:13:54,396 --> 00:13:56,999 were when the witnesses were police officers, 311 00:13:57,232 --> 00:14:00,502 military personnel and pilots. And this is because 312 00:14:00,569 --> 00:14:03,672 those people we regarded as trained observers. 313 00:14:04,139 --> 00:14:07,576 A police officer is well able to estimate the distance 314 00:14:07,676 --> 00:14:11,246 that an object is from his perspective, or the speed. 315 00:14:11,313 --> 00:14:12,948 The same with a pilot, of course. 316 00:14:13,649 --> 00:14:15,384 [narrator] Britain's most famous case, 317 00:14:15,450 --> 00:14:16,985 on par with Roswell, 318 00:14:17,052 --> 00:14:20,689 happened at Rendlesham Forest, December 1980. 319 00:14:21,023 --> 00:14:24,326 This is the East Gate at Woodbridge Base. 320 00:14:24,626 --> 00:14:28,830 And it's from this point that the security personnel 321 00:14:28,997 --> 00:14:33,435 in 1980, saw strange lights in the forest out there. 322 00:14:33,735 --> 00:14:36,171 And they thought that an aircraft had crashed. 323 00:14:36,438 --> 00:14:39,942 This is the exact spot where in 1980 it's claimed 324 00:14:40,008 --> 00:14:41,376 that the UFO landed. 325 00:14:41,810 --> 00:14:45,547 The two United States Air Force airmen actually got 326 00:14:45,614 --> 00:14:47,649 close enough for one of them to touch the side 327 00:14:47,716 --> 00:14:50,552 of this thing. Strange indentations 328 00:14:50,619 --> 00:14:52,588 were found in the ground where this thing 329 00:14:52,654 --> 00:14:55,090 was supposed to have come down on three legs. 330 00:14:55,390 --> 00:14:57,459 [man's voice on radio] Let's identify that as point one. 331 00:14:57,659 --> 00:15:00,229 That stake there, so y'all know where it is 332 00:15:00,295 --> 00:15:01,897 if we have to sketch it. Got that, Sergeant Nevilles? 333 00:15:02,297 --> 00:15:03,298 [Sgt. Nevilles on radio] Yes, sir. 334 00:15:03,365 --> 00:15:06,335 What they found was that radiation levels peaked 335 00:15:06,401 --> 00:15:09,905 in the three indentations and around the sides 336 00:15:09,972 --> 00:15:11,373 of some of the trees here. 337 00:15:11,640 --> 00:15:12,808 [man's voice on radio] You're getting readings on the tree 338 00:15:12,875 --> 00:15:14,109 you've taken samples from, 339 00:15:14,176 --> 00:15:17,246 on the side facing the suspected landing site. 340 00:15:17,312 --> 00:15:19,381 [narrator] When the UFO came back the next night, 341 00:15:19,481 --> 00:15:22,217 Deputy Base Commander Colonel Charles Halt 342 00:15:22,284 --> 00:15:23,986 went out to debunk the event. 343 00:15:24,052 --> 00:15:25,153 [Col. Halt on radio] Hey, this is eerie. 344 00:15:25,587 --> 00:15:27,055 -Is it back again? -[second man] Yes, sir. 345 00:15:27,256 --> 00:15:28,957 [Col. Halt] See if you can get the StarScope on it. 346 00:15:29,191 --> 00:15:32,461 I notice that all the barnyard animals have gotten quiet now. 347 00:15:32,761 --> 00:15:35,130 [narrator] Instead, he became a witness. 348 00:15:35,197 --> 00:15:37,232 This is the spot where, on the second night, 349 00:15:37,299 --> 00:15:40,135 Colonel Halt and his men encountered the UFO. 350 00:15:40,936 --> 00:15:43,872 At one point, it fired a narrow beam of light 351 00:15:43,939 --> 00:15:47,276 down at the ground, that came very close to his position. 352 00:15:47,910 --> 00:15:51,213 Subsequently, the UFO was zigzagging around, 353 00:15:51,313 --> 00:15:54,650 as if it was performing a grid search, Halt said. 354 00:15:54,850 --> 00:15:56,852 And then it shot off at high speed. 355 00:15:57,953 --> 00:16:01,723 Colonel Halt said that When he was witnessing the UFO, 356 00:16:02,090 --> 00:16:04,560 the nearby farmyard animals were going into 357 00:16:04,626 --> 00:16:07,362 an absolute frenzy, as if something was spooking them. 358 00:16:09,097 --> 00:16:11,066 [narrator] Nick says if there was ever a case 359 00:16:11,133 --> 00:16:14,269 to make a skeptic into a believer, this was it. 360 00:16:16,205 --> 00:16:18,941 [Nick] Multiple witnesses, military personnel 361 00:16:19,007 --> 00:16:21,543 from the two bases at Bentwaters and Woodbridge. 362 00:16:21,844 --> 00:16:25,314 Radiation readings taken at the landing site. 363 00:16:25,380 --> 00:16:26,648 This wasn't just lights in the sky, 364 00:16:26,715 --> 00:16:27,883 this thing actually came down. 365 00:16:28,817 --> 00:16:32,955 I'm not sure what people should draw from any of this. 366 00:16:33,021 --> 00:16:36,959 I think to a certain extent, the debate about UFOs 367 00:16:37,025 --> 00:16:38,460 is quite polarized. 368 00:16:38,861 --> 00:16:42,731 Skeptics aren't going to be convinced unless we do have 369 00:16:42,798 --> 00:16:44,766 the archetypal landing on the White House lawn. 370 00:16:46,602 --> 00:16:48,904 [narrator] A physical artifact seems the only way 371 00:16:48,971 --> 00:16:50,105 to end the debate. 372 00:16:50,405 --> 00:16:52,307 It's one of the great tenets of science, 373 00:16:52,374 --> 00:16:55,978 you must have repeatability. So scientists must be able 374 00:16:56,044 --> 00:17:00,182 to get this artifact to do something that we can't do. 375 00:17:00,482 --> 00:17:02,284 And it mustn't be just once. 376 00:17:02,584 --> 00:17:04,052 [narrator] And while Nick doesn't believe 377 00:17:04,119 --> 00:17:07,756 in little green men, he does say: We're not alone. 378 00:17:07,856 --> 00:17:09,958 [Nick] In this infinite universe, 379 00:17:10,025 --> 00:17:12,728 with the laws of physics and chemistry being constant, 380 00:17:12,794 --> 00:17:16,031 I think it's inconceivable that it's just us. 381 00:17:16,098 --> 00:17:18,333 I'm sure the universe is teeming with life. 382 00:17:19,234 --> 00:17:21,870 The question of whether we're being visited or not 383 00:17:21,937 --> 00:17:23,071 is a separate one. 384 00:17:23,238 --> 00:17:25,674 I can't rule out the possibility, 385 00:17:25,741 --> 00:17:27,876 but the truth of the matter is, I don't know 386 00:17:34,449 --> 00:17:38,220 Finally, I want to take you to a farm in the American Midwest, 387 00:17:38,420 --> 00:17:41,323 where a radiologist and a military physician 388 00:17:41,590 --> 00:17:43,725 have partnered up to solve a mystery, 389 00:17:43,792 --> 00:17:45,794 like those forensic crime shows, 390 00:17:46,261 --> 00:17:47,963 and it all starts with a rifle... 391 00:17:48,497 --> 00:17:50,165 and a phantom leg. 392 00:17:50,399 --> 00:17:52,701 A very real-looking phantom leg. 393 00:17:53,435 --> 00:17:56,004 [upbeat music] 394 00:17:57,206 --> 00:17:58,273 [narrator] It's an odd task. 395 00:17:58,707 --> 00:18:01,343 Duct taping an artificial leg to a work bench, 396 00:18:01,543 --> 00:18:03,445 only so it can be riddled with bullets. 397 00:18:05,113 --> 00:18:08,917 Yeah, shooting a body part, to me never seems natural. 398 00:18:09,618 --> 00:18:12,688 I like to look past that a little bit, 399 00:18:12,754 --> 00:18:18,327 and what we gain through this research is going to help 400 00:18:18,493 --> 00:18:21,563 the soldiers and sailors and marines in the future. 401 00:18:22,097 --> 00:18:24,666 [narrator] As a military doctor, Michael Frew has seen 402 00:18:24,733 --> 00:18:27,269 a lot of trauma. But he never thought he'd be asked 403 00:18:27,336 --> 00:18:30,105 to re-create a sniper scenario on his farm 404 00:18:30,172 --> 00:18:31,773 out in Lovettsville, Virginia. 405 00:18:32,741 --> 00:18:34,676 Well, he knew we had a range that was available, 406 00:18:34,743 --> 00:18:37,679 he knew we had weapons, and he knew we liked to shoot. 407 00:18:38,514 --> 00:18:40,382 [narrator] Radiologist Dr. Les Folio 408 00:18:40,449 --> 00:18:41,717 is the man behind this. 409 00:18:42,684 --> 00:18:44,987 When we image this, as we'll see later, 410 00:18:45,454 --> 00:18:49,091 we look at the path, measure that angle, 411 00:18:49,458 --> 00:18:51,560 and provided we know the position, like we do here, 412 00:18:52,160 --> 00:18:54,329 and we often do for field conditions 413 00:18:54,396 --> 00:18:55,731 because of security cameras, 414 00:18:55,998 --> 00:18:58,367 we can recreate that scene, if you will, 415 00:18:58,934 --> 00:19:00,802 of what that angle is, 416 00:19:00,869 --> 00:19:02,704 where did that shooter shoot from. 417 00:19:04,940 --> 00:19:06,708 [narrator] So, with a clinometer in hand, 418 00:19:06,775 --> 00:19:10,245 Les begins the day by marking targets and choosing angles. 419 00:19:11,313 --> 00:19:14,449 So even down here will work, so about six shots. 420 00:19:15,050 --> 00:19:16,718 [narrator] An Olympic pool length away, 421 00:19:16,818 --> 00:19:18,720 the sniper gets into position. 422 00:19:20,022 --> 00:19:22,457 He will be aiming at targets the size of a penny. 423 00:19:23,859 --> 00:19:28,697 We chose this weapon, which is a Remington 700, 424 00:19:29,531 --> 00:19:32,901 because it fires a 30 OTT 6 round 425 00:19:32,968 --> 00:19:37,873 that is very similar in size and shape and capacity 426 00:19:37,940 --> 00:19:39,241 that our soldiers use. 427 00:19:41,076 --> 00:19:44,313 [Les] Yeah, 92. So it was a two degree pitch down. 428 00:19:45,414 --> 00:19:47,082 We're looking at plus or minus five degrees. 429 00:19:47,349 --> 00:19:49,852 Okay, I think we're ready to shoot. 430 00:19:52,754 --> 00:19:53,856 [Michael] Range is live. 431 00:19:57,192 --> 00:19:58,193 [gunshot] 432 00:19:59,394 --> 00:20:00,429 Let's go check. 433 00:20:01,296 --> 00:20:02,397 [narrator] Target hit. 434 00:20:02,731 --> 00:20:05,300 Next time they want to make sure they get bone. 435 00:20:05,801 --> 00:20:08,103 This one obviously didn't hit bone, because it's scraped 436 00:20:08,170 --> 00:20:09,771 and you can see the internal tissues here, 437 00:20:09,905 --> 00:20:13,008 the red, they look like muscle, that's what they're made for. 438 00:20:16,812 --> 00:20:17,880 Range is live. 439 00:20:18,580 --> 00:20:21,450 [upbeat music] 440 00:20:22,718 --> 00:20:23,719 [gunshot] 441 00:20:26,455 --> 00:20:27,523 Probably right on. 442 00:20:31,593 --> 00:20:32,661 [narrator] A stark difference 443 00:20:32,728 --> 00:20:34,830 between the entry and exit wounds. 444 00:20:35,063 --> 00:20:36,431 [Michael] Every shot counted. 445 00:20:37,165 --> 00:20:38,600 [Les] Well, the CT will tell the story. 446 00:20:39,301 --> 00:20:41,036 [narrator] So, with the badly wounded limb, 447 00:20:41,170 --> 00:20:42,638 Les heads to the lab. 448 00:20:44,273 --> 00:20:47,476 [Les] Computer tomography is the main stay of imaging 449 00:20:47,543 --> 00:20:49,211 when it comes to ballistic trauma. 450 00:20:49,278 --> 00:20:50,879 We're dealing with metallic fragments 451 00:20:50,946 --> 00:20:54,783 or bone fragments that have been secondary missiles. 452 00:20:55,784 --> 00:20:57,186 [narrator] The images are revealing. 453 00:20:57,252 --> 00:20:58,353 The bullet enters. 454 00:20:58,554 --> 00:21:01,190 Hits the fibula and then tibia before exiting. 455 00:21:01,857 --> 00:21:05,561 So, now that the blast test dummy leg has been 456 00:21:05,994 --> 00:21:09,164 scanned in the CT, we can see the wound path nicely here. 457 00:21:09,431 --> 00:21:11,133 [narrator] The imagery proves that this method 458 00:21:11,200 --> 00:21:13,936 can accurately confirm where a sniper was standing, 459 00:21:14,002 --> 00:21:15,904 and where the leg was most vulnerable. 460 00:21:16,271 --> 00:21:19,808 A big turning point, not only to help solve cold cases, 461 00:21:20,042 --> 00:21:21,510 also to help the living. 462 00:21:21,777 --> 00:21:24,346 A radiologist can quickly paint the picture, 463 00:21:24,413 --> 00:21:26,715 and then we can do more effective CT triage, 464 00:21:27,115 --> 00:21:30,319 which means the triage not just into the CT, "who's next?", 465 00:21:30,385 --> 00:21:31,820 because you may have 20 people waiting, 466 00:21:32,354 --> 00:21:34,256 but who then is next for the operating room 467 00:21:34,323 --> 00:21:36,191 based on the critical organs 468 00:21:36,258 --> 00:21:37,759 damaged in that wound path. 469 00:21:37,893 --> 00:21:40,162 [narrator] Beyond the lab, this data is being compared 470 00:21:40,229 --> 00:21:43,065 to combat casualty files, teaching soldiers how to 471 00:21:43,131 --> 00:21:45,901 better position themselves in war, and prompting 472 00:21:45,968 --> 00:21:48,270 the creation of more protective body armor. 473 00:21:48,670 --> 00:21:52,674 Just one more thing Dr. Les Folio can be proud of. 474 00:21:58,313 --> 00:22:00,482 You know those forensic crime shows are still 475 00:22:00,549 --> 00:22:02,417 quite popular, well I think we've got 476 00:22:02,484 --> 00:22:04,453 the inspiration for a new series here. 477 00:22:04,520 --> 00:22:07,956 Oh yes, CSI radiologist on the scene. 478 00:22:08,090 --> 00:22:10,626 Well, that's all we've got time for today. 479 00:22:10,692 --> 00:22:13,028 Thanks very much for watching How Tech Works . 480 00:22:13,562 --> 00:22:15,631 Until next time, I'm Basil Singer. 481 00:22:16,231 --> 00:22:19,234 [ending music] 38994

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