0:00:02 > 0:00:09This week, the smart watch yet serious. Virtual reality
0:00:10 > 0:00:15skateboarding, and your ceiling lights are talking to us. What do
0:00:16 > 0:00:38you mean you can't hear them? -- the smart watch gets serious.
0:00:39 > 0:00:49Come on. Hands up if this is you. Your house. Your office. A million
0:00:50 > 0:00:53devices, all clamouring for the same Wi-Fi signal. Which means no one
0:00:54 > 0:01:01gets a good speed, and the poor old Wi-Fi router becomes Wi-Fry router.
0:01:02 > 0:01:05And it's only going to get worse once the Internet of Things properly
0:01:06 > 0:01:10gets going and your smartphone has to compete for signal with your
0:01:11 > 0:01:15smart shoes, you're smart trousers, your smart mop. That's a good idea.
0:01:16 > 0:01:18I'm going to build that. Come with me now to Edinburgh University where
0:01:19 > 0:01:24they're giving the Wi-Fi router a break and going online using
0:01:25 > 0:01:26something we all plenty of. This laptop is streaming video. It is
0:01:27 > 0:01:37connected to the internet but not via Wi-Fi. Via Li-Fi. The ordinary
0:01:38 > 0:01:44LED room light is transmitting the data. It is too fast for us to see,
0:01:45 > 0:01:48at these LED lights are dimming and writing extremely quickly. And they
0:01:49 > 0:01:53are being seen by the laptop as ones and zeros. They are not just
0:01:54 > 0:01:57flashing on and off either. There are 256 different levels of
0:01:58 > 0:02:01rightness which means eight bits of data can be sent at once. The device
0:02:02 > 0:02:06doesn't need to be directly under the light either. It is possible to
0:02:07 > 0:02:10detect those flickering bits and bytes from ambient and reflected
0:02:11 > 0:02:16light as well. We have seen Li-Fi setups on Click before. Just a few
0:02:17 > 0:02:20weeks ago Fujitsu showed off its version in Japan with phones
0:02:21 > 0:02:26receiving information from LED strips. But this is simply a 1-way
0:02:27 > 0:02:31communication. If you want a proper internet connection, your device
0:02:32 > 0:02:36needs to somehow send a signal back as well. And that is what is so new
0:02:37 > 0:02:41here in Edinburgh. These laptops not only receive data but send data back
0:02:42 > 0:02:46using an infrared uplink. And not just that. As the laptop moves
0:02:47 > 0:02:53around the room, it logs onto a different light. That means a room
0:02:54 > 0:02:56can serve many devices at once, very much like a mobile phone cellular
0:02:57 > 0:03:02network. Time to meet the man who coined the term Li-Fi in his TED
0:03:03 > 0:03:14talk four years ago. This is Professor Harold Haas. What are the
0:03:15 > 0:03:17advantages of Li-Fi over Wi-Fi? Uses an entirely different part of the
0:03:18 > 0:03:21electromagnetic spectrum so it won't interfere with radio or Wi-Fi.
0:03:22 > 0:03:26That's why we can add another layer of wireless connectivity. And the
0:03:27 > 0:03:30problem with Wi-Fi is that as you increase the number of users, they
0:03:31 > 0:03:34will have to split up and divide the bandwidth among the users. And with
0:03:35 > 0:03:38Li-Fi, you have another channel there, and you would avoid the
0:03:39 > 0:03:43splitting up of bandwidth. And that is going to be really useful when
0:03:44 > 0:03:46ever expanding internet of things floods the airwaves with signals.
0:03:47 > 0:03:53Your devices will receive data from the ceiling lights, and send data
0:03:54 > 0:03:58back possibly by blinking their own tiny power LEDs, like this prototype
0:03:59 > 0:04:03here. During the day, at home, I turned my lights off. Does that mean
0:04:04 > 0:04:07I don't get data? Certainly you would get data. You can kimberlite
0:04:08 > 0:04:11to the level that it would be off for us, for our eyes. But it will
0:04:12 > 0:04:17still emit light to provide sufficient data. Does this mean that
0:04:18 > 0:04:22we need to make an entirely new type of light, in an entirely new
0:04:23 > 0:04:28factory, in order to install this? We can use existing lights to enable
0:04:29 > 0:04:33them to be... A Li-Fi transmitter and the thing is we can use the
0:04:34 > 0:04:37existing infrastructure. Case in point, this is an off-the-shelf
0:04:38 > 0:04:42solar cell which he is being used as a Li-Fi receiver. This light is
0:04:43 > 0:04:46transmitting a high def video to the laptop. The great thing about solar
0:04:47 > 0:04:51cells as they still work in low light conditions so I can do that in
0:04:52 > 0:04:54the video still plays. And that means this kind of receiver will
0:04:55 > 0:05:01still work when the devices in your pocket, behind a layer of cotton.
0:05:02 > 0:05:06And Harold's team is also working on squeezing more data into the light.
0:05:07 > 0:05:12After all, why go white when you've got a whole spectrum to play with?
0:05:13 > 0:05:17The next generation of LED lighting will be red, green and blue LEDs and
0:05:18 > 0:05:21we mix it in with white as you see here. But the good thing is with the
0:05:22 > 0:05:25colours is you can send different data per colour. So red carries a
0:05:26 > 0:05:29different stream of information. And I'll show you, if you put in a red
0:05:30 > 0:05:35filter here, you see the triangle... The red colour is
0:05:36 > 0:05:37transmitting tribals. The red colour is transmitting triangles. And then
0:05:38 > 0:05:44you put a blue filter in front of it, you see a rectangle. And we put
0:05:45 > 0:05:49in the green filter and that sends in a sawtooth. So three colours,
0:05:50 > 0:05:54three different signals, and three times the data. With different
0:05:55 > 0:06:02colours we can even go to 100, that is many times faster than we have in
0:06:03 > 0:06:06current Wi-Fi. Until something like Li-Fi comes along, one of these is
0:06:07 > 0:06:10still taking the strain. And, as most of us know, our Wi-Fi
0:06:11 > 0:06:15connection throughout our homes isn't always perfect. So I've got a
0:06:16 > 0:06:20few tips, short of changing provider, that could help improve
0:06:21 > 0:06:26things. Most people are using a 2.4 gigahertz connection and there are
0:06:27 > 0:06:3013 channels. One, six and 11 are the most commonly used. But if you try
0:06:31 > 0:06:34an app like this Wi-Fi analyser you can see exactly how many connections
0:06:35 > 0:06:38there are. It means that you can then go into your Wi-Fi settings via
0:06:39 > 0:06:42your computer and change the channel that you're connecting to, which
0:06:43 > 0:06:47should mean less interference from neighbours' Wi-Fi, or even from baby
0:06:48 > 0:06:51monitors and microwaves. So first off, it's worth trying a bit of a
0:06:52 > 0:06:55cheap and easy DIY solution that I came across. And that's to create
0:06:56 > 0:07:01your own reflector. What you'll need is a bit of cardboard, some
0:07:02 > 0:07:05tinfoil, and some glue. Stick down the tinfoil, then all you need to do
0:07:06 > 0:07:08is folded in a couple of places, and then you place it high on the
0:07:09 > 0:07:14router, so that you reflect the signal in the direction that you
0:07:15 > 0:07:20want it to go. It may sound a bit unlikely, and look pretty daft, but
0:07:21 > 0:07:24in the right situation it can significantly improve your speed. If
0:07:25 > 0:07:29you're lucky enough to live somewhere where the size of the
0:07:30 > 0:07:34property is an issue, well, Wi-Fi range extender could help. All you
0:07:35 > 0:07:38need to do is plug this into a power socket, in an area where it still
0:07:39 > 0:07:42going to get connection from your router, and then it should spread
0:07:43 > 0:07:46the signal further. Another option is getting a pair of powerline
0:07:47 > 0:07:50adapters. One of them will be attached a lead to your router. The
0:07:51 > 0:07:54second one will be plugged into any other power socket in the house. You
0:07:55 > 0:07:59can then attach your computer with a lead. Many of the new models offer
0:08:00 > 0:08:03wireless connection as well, creating a hotspot that smartphones
0:08:04 > 0:08:08or tablets can easily connect to. One option is a tri- band router
0:08:09 > 0:08:12like this one which as well as having a 2.4 gigahertz connection,
0:08:13 > 0:08:16also has two 5 gigahertz connections. That means you may need
0:08:17 > 0:08:21to be nearer to the router, but it should provide a stronger, more
0:08:22 > 0:08:26consistent connection. Multiple users should get a decent signal at
0:08:27 > 0:08:28the same time. And because fewer gadgets use five gigahertz, they
0:08:29 > 0:08:34shouldn't be as much interference. Great. The problem is that some of
0:08:35 > 0:08:40the older devices you may want to get online with may not use it
0:08:41 > 0:08:45either. Not so great. And for some, as prices fall, a high data 4G
0:08:46 > 0:08:48contract could be the winner. It could work out cheaper, you won't
0:08:49 > 0:08:53even need a home phone connection, and it can have better upload
0:08:54 > 0:08:58speeds. What would then come in handy is one of these, a 4G router.
0:08:59 > 0:09:02The strength of your connection is of course dependent on the mobile
0:09:03 > 0:09:06network you are using. But it does give greater freedom as to where it
0:09:07 > 0:09:13can be placed. So play around for long enough and you may find the
0:09:14 > 0:09:18perfect spot. It was a difficult week for Facebook this week, as a
0:09:19 > 0:09:23Belgian court gave at 48 hours to stop tracking people who are not
0:09:24 > 0:09:27members of the social network. Facebook say it will appeal the
0:09:28 > 0:09:33decision but could face a fine of up to ?180,000 if it fails to comply
0:09:34 > 0:09:37with the court order. And it was the week that SnapChat revealed it got 6
0:09:38 > 0:09:41billion video views every day. Google makes its service available
0:09:42 > 0:09:46online and Sony bids fond farewell to Betamax, although it was a
0:09:47 > 0:09:49surprise it was making it at all. And a high-speed printer that makes
0:09:50 > 0:09:56circuit boards wins and engineering award. Four scientists scooped a
0:09:57 > 0:10:00?40,000 prize for their machine. It uses ink to turn circuit board
0:10:01 > 0:10:04designs into working prototypes. That is on top of the ?300,000 they
0:10:05 > 0:10:09got from kick starter. So clearly they are not doing too badly. And
0:10:10 > 0:10:12finally, if you just happen to be in New York this week then you might
0:10:13 > 0:10:19believe that a man could fly. This man took a trip around the Big Apple
0:10:20 > 0:10:22powered eye gallons of kerosene and two jet engines. Unfortunately it
0:10:23 > 0:10:26will only give you about ten minutes of actual flight time before you
0:10:27 > 0:10:31have to return to the earth. And before you ask, they have no plans
0:10:32 > 0:10:37to sell it to the public. That's cool, I didn't want an awesome jet
0:10:38 > 0:10:41pack anyway. Now, this week Apple announced that it has sold over 7
0:10:42 > 0:10:46million of its posh watches. That is more in six months than all other
0:10:47 > 0:10:51smart watches combined, in the last year. Goodness! At there is one
0:10:52 > 0:10:56thing we think all smart watches still share, in our humble opinion.
0:10:57 > 0:11:03They look really, really, really, really geeky. Now, though, it is the
0:11:04 > 0:11:09return of the classic watch brands to try and make something special.
0:11:10 > 0:11:19We sent Dave Lee to New York. Thanks to them, the Swiss watch industry is
0:11:20 > 0:11:28connected. Today is the marriage of watch Valley and Silicon Valley. We
0:11:29 > 0:11:37are giving birth to eternity in a box -- thanks to TAGHeuer. We have a
0:11:38 > 0:11:42computer inside the watch. Now, in case he didn't quite get that, what
0:11:43 > 0:11:49Jean-Claude was trying to say was that his company, TAGHeuer, is
0:11:50 > 0:11:53making its first ever smart watch. TAGHeuer has more than 150 years of
0:11:54 > 0:11:58watchmaking in the bag, and this watch is about saying to Apple, the
0:11:59 > 0:12:00Samsung, to Motorola, all those other companies, they just don't
0:12:01 > 0:12:05know what they're doing when it comes to making a stylish timepiece.
0:12:06 > 0:12:09But will this be enough to turn the opinions of people who just love
0:12:10 > 0:12:15classic watches? Yes. Certain people, yes. Not everybody, of
0:12:16 > 0:12:19course. Certain people, it is good. You are wearing two watches at the
0:12:20 > 0:12:25moment. Yes. One of them is a smart watch, the other one is on. Yes, and
0:12:26 > 0:12:29you hardly see the difference. I'm going to wager you will take the
0:12:30 > 0:12:36smart watch fairly certain. Not necessary. Why? Because it is very
0:12:37 > 0:12:41light, it is very comfortable, and then it's quite nice to play with
0:12:42 > 0:12:47it! The watch is powered by Google's Android wear. Meaning it
0:12:48 > 0:12:52has all the existing apps made for other watches until now. And it has
0:12:53 > 0:12:57that authentic TAGHeuer look. On the inside, the electronics are made by
0:12:58 > 0:13:00Intel, a company which is desperate to make sure it doesn't miss out on
0:13:01 > 0:13:05the smart watch industry in the same way it was left behind with
0:13:06 > 0:13:09smartphones. This is a part of us not being absent from the next big
0:13:10 > 0:13:14thing. And I think, you know, you're seeing our efforts in wearable
0:13:15 > 0:13:18devices. You saw us make some acquisitions this year in wearable
0:13:19 > 0:13:23devices. Both for the wrist and for the head worn eyeglasses, and there
0:13:24 > 0:13:28are many other segments of devices that we are making sure that we
0:13:29 > 0:13:32don't miss the next big thing. But unfortunately the watch still
0:13:33 > 0:13:37suffers from the same problems as many of its competitors, the battery
0:13:38 > 0:13:42just about lasts a day, and it's a it big. So the watch is quite big,
0:13:43 > 0:13:48quite chunky, safe to say it is definitely a man's watch. Are you
0:13:49 > 0:13:55hoping to make a Lady's smart watch as well? We need a lady's watch. A
0:13:56 > 0:14:02woman, you know, the phone rings, will she find it in her bag? The
0:14:03 > 0:14:05phone has stopped ringing. So for women, it is quite practical to have
0:14:06 > 0:14:09information on the wrist. But it will never compete with an elegant,
0:14:10 > 0:14:22wonderful watch, for sure. This will set you back a tasty
0:14:23 > 0:14:26$1500. It is not a perfect device but they seem pretty confident.
0:14:27 > 0:14:33Although we get the feeling he might always be like this. LAUGHTER. Well,
0:14:34 > 0:14:38there is a man who loves his job. I wonder what he would make of this,
0:14:39 > 0:14:44possibly the most unusual smartwatch I have seen in a while. This does
0:14:45 > 0:14:51not just tell the time calls and messages, it knows what you want.
0:14:52 > 0:14:57All these objects you interact with, your phone, your tablet, even
0:14:58 > 0:15:02your refrigerator, they admit -- emit electronic noise. And that
0:15:03 > 0:15:06flows into the body because the body is conductive. Once that signal goes
0:15:07 > 0:15:10into the body, the smartwatch since on your wrist can sense that signal.
0:15:11 > 0:15:16And these signals are very characteristic. Each object has its
0:15:17 > 0:15:23own little magnetic profile. OK. Applications like what? Researchers
0:15:24 > 0:15:32say it can unlock your computer or give you real time directions simply
0:15:33 > 0:15:35by touching an appropriate object. So this could really be a properly
0:15:36 > 0:15:40smartwatch, one that will know when you are rushing your teeth and start
0:15:41 > 0:15:43timing you, or one that knows you are about to lose and drilling and
0:15:44 > 0:15:49brings up an instruction manual on how to do it. But a really, really
0:15:50 > 0:15:57smart advice -- device might advise you to read that first before...
0:15:58 > 0:16:00Well, maybe that is just me. One of the problems of virtual reality we
0:16:01 > 0:16:03have talked a lot about recently is the fact you can see and hear your
0:16:04 > 0:16:06surroundings but you cannot feel what is going on and that rather
0:16:07 > 0:16:10breaks the illusion. For example, wouldn't it be great if you were
0:16:11 > 0:16:13virtual reality skate boarding to be able to feel the ground beneath your
0:16:14 > 0:16:17feet. That has been the question on my lips for months now, I promise.
0:16:18 > 0:16:27Fortunately, we have found a solution in Japan. Who doesn't want
0:16:28 > 0:16:38a vibrating virtual reality skate boarding simulator? Yes, the Tokyo
0:16:39 > 0:16:44Institute of Technology has built this amazingly involved boardgame.
0:16:45 > 0:16:53This is brilliant. These skateboarders vibrating... Can you
0:16:54 > 0:16:56hear the difference? The cobbles! It lets riders feel the ground texture
0:16:57 > 0:17:02change beneath their feet as if they were skateboarding on real ground.
0:17:03 > 0:17:05And this is the best bit. Because I'm in virtual reality, I can get
0:17:06 > 0:17:10all of the thrills of high speed riding in real life with none of the
0:17:11 > 0:17:16consequences when I fall off or inevitably bash into the scenery.
0:17:17 > 0:17:26Normally when you were virtual reality goggles, you can't
0:17:27 > 0:17:28experience things in the same way. I'm going to stop for a second
0:17:29 > 0:17:37because I'm meant to be telling you about this. That is really
0:17:38 > 0:17:40incredible! Adding that sensory element really does bring a game
0:17:41 > 0:17:44like this to life. The sound, the feeling of the vibration and
0:17:45 > 0:17:50certainly the actual physical peril. I really was quite reliant on
0:17:51 > 0:17:57this hole and I did not think I would need that at all. To get a
0:17:58 > 0:17:59sound, they mounted microphones underneath a real skateboard and
0:18:00 > 0:18:04record the sound of different road textures. Then the sound for it
0:18:05 > 0:18:09texture is played back during the game depending on the texture being
0:18:10 > 0:18:13played -- displayed on the screen. Underneath, we have a pair of 50
0:18:14 > 0:18:19watts bass speakers. Basically, it is using low-frequency sound to give
0:18:20 > 0:18:22that sense of vibration. And then under here, we have a collection of
0:18:23 > 0:18:30microcontrollers, of are sending data back to the Peter. You have --
0:18:31 > 0:18:35back to the computer. You have your skateboard, your treadmill, your
0:18:36 > 0:18:42amplifier and the oculus rift. It is a very ambitious project but it does
0:18:43 > 0:18:44work. The system also recognises when you tilt the skateboard. The
0:18:45 > 0:18:51computer-generated world responds accordingly. Plus there is a sense
0:18:52 > 0:18:57or in the treadmill. And when you kick the treadmill, it detects the
0:18:58 > 0:19:06force. And the beauty matches speed to the force. -- the computer. And
0:19:07 > 0:19:12no, it is not as easy as it looks. Visit our producer trying it for the
0:19:13 > 0:19:24first time. -- this is our producer. LAUGHTER. Frivolity aside,
0:19:25 > 0:19:28I was impressed by how easily I accept it and learn from feedback in
0:19:29 > 0:19:34the virtual world. This is massive intentional. A world that feels real
0:19:35 > 0:19:38enough to landscape or in, no matter what level of reality you are
0:19:39 > 0:19:45actually in. -- real enough to learn to skateboard in. And from one
0:19:46 > 0:19:51exhilarating ride to another. The London Underground is a busy bit of
0:19:52 > 0:19:55old bump and grind stone. Sun plans to visit. Even without an incident,
0:19:56 > 0:20:02some parts get clogged just by people waiting to get home. And when
0:20:03 > 0:20:07things do start bundling up, this is where the decisions are made about
0:20:08 > 0:20:15what to do. I love the fact that we have all of these big bits that are
0:20:16 > 0:20:18not on the Tube map. You can do such clever things with trains. The
0:20:19 > 0:20:22oldest Tube network in the world spans over 1000 kilometres and if
0:20:23 > 0:20:25something goes wrong in one section, it can affect other
0:20:26 > 0:20:30sections hours later. The team in this control room try to keep things
0:20:31 > 0:20:34moving to minimise delays. All trains report their whereabouts and
0:20:35 > 0:20:38over the last decade or so, some have been upgraded to the fully
0:20:39 > 0:20:44automated, the driver here becoming more of a supervisor. The strains
0:20:45 > 0:20:47automatically change speed to maintain the gaps between them and
0:20:48 > 0:20:53regulate the service. -- these trains. Some have been fitted with
0:20:54 > 0:20:57scales, weighing the load and estimating the number of passengers
0:20:58 > 0:21:00on board. Even with all this information, the plans in place to
0:21:01 > 0:21:06avoid overcrowding and delays are surprisingly low-tech. At the moment
0:21:07 > 0:21:11for the Central line, we would look at the pinch points that we have. A
0:21:12 > 0:21:14team appear would be bringing around different locations on the network
0:21:15 > 0:21:19where we know we have high volumes of cars is and where experience
0:21:20 > 0:21:26tells us we have pinch points. -- high volumes of customers. And based
0:21:27 > 0:21:31on the way the network operates at the moment, we have additional areas
0:21:32 > 0:21:35of the network where other lines will take the normal loading for
0:21:36 > 0:21:40those sections. We also have a lot of contingency plans, well versed
0:21:41 > 0:21:46plans and our teams then go into to address these kinds of issues. If we
0:21:47 > 0:21:51have crowding issues or potential capacity issues around Oxford
0:21:52 > 0:21:54Circus, we have a team there is well-trained and that practices a
0:21:55 > 0:22:02lot and they will those plans to help us. Will helm has developed an
0:22:03 > 0:22:06algorithm that can predict the knock-on problems across a network
0:22:07 > 0:22:11over the next couple of hours. Compressed two years of work into
0:22:12 > 0:22:15three sentences, please. We take the information out of the train system,
0:22:16 > 0:22:19where the train is at a certain time, and we look at how that looks
0:22:20 > 0:22:25in a pattern of historical data. And then we say that this is a pattern
0:22:26 > 0:22:29we have seen before. And then we can predict. The system sucks up all of
0:22:30 > 0:22:33the real-time data from the Stockholm rail network, not just
0:22:34 > 0:22:37will helm 's very lovely train set here, and repeatedly makes
0:22:38 > 0:22:42predictions every single minute. That means as an incident develops
0:22:43 > 0:22:47or resolves, the numbers change. What will the officials be able to
0:22:48 > 0:22:49do with this information? If they see there is a problem and this is
0:22:50 > 0:22:56how it will look into hours, what can they do? What they want to do is
0:22:57 > 0:22:59screw my model up. You say there will be delayed, they say they are
0:23:00 > 0:23:04going to solve that. The problem today is that we are looking at
0:23:05 > 0:23:08trains, not humans. If you combine that with information as to how has
0:23:09 > 0:23:14the train is, you can say that you have a very heavy train, lots of
0:23:15 > 0:23:17people on board, and then say let us run by train all the way through.
0:23:18 > 0:23:24That will minimise the total amount of delays for humans. But today, all
0:23:25 > 0:23:28of those systems look at the train. The ultimate goal is to get these
0:23:29 > 0:23:33numbers is close to the real arrival time as possible and, of course, no
0:23:34 > 0:23:41more last-minute cancellations. In fact, travellers and dock when will
0:23:42 > 0:23:45still have access to -- soon have access to the information themselves
0:23:46 > 0:23:48via the app. Incidentally, do you know which underground station the
0:23:49 > 0:23:55guys at transport for London told me they had to close most often because
0:23:56 > 0:24:02of overcrowding? Victoria. Correct. Six o'clock every evening, this
0:24:03 > 0:24:07place is crazy. I wonder if anyone would mind if I knocked off early
0:24:08 > 0:24:08tonight and beat the rush. See