Browse content similar to 12/12/2015. Check below for episodes and series from the same categories and more!
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If there was ever a time of year when shops want to lure in | 0:00:28 | 0:00:32 | |
the customers, it's Christmas time. | 0:00:32 | 0:00:34 | |
This shop doesn't have any tinsel, but it does have hidden trickery. | 0:00:34 | 0:00:38 | |
It knows I'm coming even before I have arrived. | 0:00:38 | 0:00:42 | |
The reason it knows where I am is because I have a loyalty | 0:00:42 | 0:00:45 | |
card with an RFID chip inside. | 0:00:45 | 0:00:47 | |
It can detect wherever I am. | 0:00:47 | 0:00:50 | |
We are across the street. | 0:00:50 | 0:00:52 | |
It will send me a personalised offer via text message. | 0:00:52 | 0:00:56 | |
Excellent, 20% off Neroli. | 0:00:56 | 0:00:58 | |
I have no idea what that is. | 0:00:58 | 0:01:02 | |
It might be smelly. | 0:01:02 | 0:01:06 | |
If a shopper walks past too many times but doesn't come in, | 0:01:06 | 0:01:08 | |
that is the time to send the cracking offer to entice them in. | 0:01:08 | 0:01:19 | |
Every customer gets a different discount because the system | 0:01:19 | 0:01:21 | |
knows which products they have bought with their loyalty card. | 0:01:21 | 0:01:24 | |
Most importantly, what current stock they are most likely to buy. | 0:01:24 | 0:01:51 | |
The Dandy Lab in trendy east London might look like the ordinary posh, | 0:01:51 | 0:01:54 | |
trendy shop, but is also an actual lab for | 0:01:54 | 0:01:56 | |
testing the latest shopping tech. | 0:01:56 | 0:01:58 | |
I am sure stores in the street want to be able to do what online | 0:01:58 | 0:02:01 | |
shops do, and offer us targeted products at every opportunity. | 0:02:01 | 0:02:04 | |
But, in order to target more, they need to know more about the target. | 0:02:04 | 0:02:07 | |
Take a look at this. | 0:02:07 | 0:02:09 | |
I know shops are interested in footfall, but here, | 0:02:09 | 0:02:11 | |
when you walk in, what you are walking in in is analysed. | 0:02:11 | 0:02:14 | |
Yes, apparently shoes say a lot about us, heels, trainers, | 0:02:14 | 0:02:16 | |
shoe size are some of the features this software is looking for. | 0:02:16 | 0:02:19 | |
At the moment it can figure out the number of shoppers coming in, | 0:02:19 | 0:02:23 | |
the gender and whether they've come in on their own or with family. | 0:02:23 | 0:02:26 | |
The idea was to invent a technology that could profile | 0:02:26 | 0:02:28 | |
people and be used in store to count and profile people's demographics. | 0:02:28 | 0:02:31 | |
But it was not privacy invasive. | 0:02:31 | 0:02:33 | |
Most solutions out there right now, like facial recognition, people | 0:02:33 | 0:02:35 | |
don't like them, they think they are creepy in a real-world environment. | 0:02:35 | 0:02:38 | |
But this is just the starting point. | 0:02:38 | 0:02:41 | |
The artificially intelligent algorithm will get better | 0:02:41 | 0:02:43 | |
in time and start building profiles for different types of customers, | 0:02:43 | 0:02:46 | |
categorising them based on their shoe choice and then making | 0:02:46 | 0:02:52 | |
predictions about types of products they are more likely to buy. | 0:02:52 | 0:02:54 | |
Now, in here, there is a device which | 0:02:54 | 0:02:59 | |
tracks the Wi-Fi pings of customers' smart | 0:02:59 | 0:03:01 | |
phones as they move around the shop. | 0:03:01 | 0:03:02 | |
It is really accurate, so they can tell where people are | 0:03:02 | 0:03:05 | |
stopping and looking, to work out which displays are working best. | 0:03:05 | 0:03:08 | |
And they can build up a kind of heat map of movement around the shop. | 0:03:08 | 0:03:13 | |
Up here, two security cameras which record video throughout the | 0:03:13 | 0:03:16 | |
day, upload them to a server, ready for some clever video analysis. | 0:03:16 | 0:03:21 | |
Age-group, type of clothes and facial expressions are important, | 0:03:21 | 0:03:24 | |
combine that with the news and the weather and you might be able to | 0:03:24 | 0:03:30 | |
predict what I am in the mood for right now And it is not only about | 0:03:30 | 0:03:35 | |
enticing us to come in, but also to stay in for longer. | 0:03:35 | 0:03:40 | |
This immersive box at the moment is just running | 0:03:40 | 0:03:42 | |
a game, but in future the RFID loyalty card could trigger a more | 0:03:42 | 0:03:46 | |
personalised shopping experience. | 0:03:46 | 0:03:51 | |
Once you know who is walking past your shop, here is something | 0:03:51 | 0:03:54 | |
interesting you can do - change your shop window to greet them. | 0:03:54 | 0:03:58 | |
This is very cool. | 0:03:58 | 0:04:14 | |
and that means you can change this display depending on the time of day | 0:04:14 | 0:04:18 | |
or who is walking past that time. | 0:04:18 | 0:04:25 | |
Sensors in shops are already becoming commonplace but what | 0:04:25 | 0:04:29 | |
if the fabric in your clothes also contains sensors? | 0:04:29 | 0:04:36 | |
Every single item across all of these shelves is uniquely tagged | 0:04:36 | 0:04:39 | |
and we know who the shopper is. | 0:04:39 | 0:04:41 | |
The idea is the shopper can simply come into the store, | 0:04:41 | 0:04:44 | |
pick up the items off the shelves and simply walk out of the store. | 0:04:44 | 0:04:48 | |
But, and it is a big but, and it does look big in this, will we be | 0:04:48 | 0:04:53 | |
happy to be uniquely identified, even by the clothes we are wearing? | 0:04:53 | 0:04:58 | |
Ironically it is thanks to online shopping that we are now getting | 0:05:06 | 0:05:09 | |
more used to the personalized approach and being more known | 0:05:09 | 0:05:12 | |
by the places at which we shop. | 0:05:12 | 0:05:13 | |
For many shoppers, the biggest challenge is knowing | 0:05:13 | 0:05:16 | |
what suits them and the Fitle app is one attempt to replicate the | 0:05:16 | 0:05:19 | |
real-life fitting room experience. | 0:05:19 | 0:05:20 | |
In under a minute it creates an avatar of you so you can | 0:05:20 | 0:05:23 | |
virtually try on clothes. | 0:05:23 | 0:05:27 | |
It is pretty simple to setup and while you don't need a whole TV | 0:05:27 | 0:05:30 | |
studio, a plain white wall is what you are | 0:05:30 | 0:05:33 | |
after and you do need to be wearing these sort of clothes or underwear. | 0:05:33 | 0:05:37 | |
And if you have got long hair, make sure it is back off your face. | 0:05:37 | 0:05:41 | |
Once you open the app, you tell ir your gender, | 0:05:41 | 0:05:44 | |
date of birth, height and weight. | 0:05:44 | 0:05:48 | |
Place it down on the floor leaning against something and then | 0:05:48 | 0:05:51 | |
make sure you are in the position you are meant to be standing in. | 0:05:51 | 0:05:55 | |
Now it is time for a selfie. | 0:05:55 | 0:05:58 | |
Haircolor, eyecolor and it is ready and we can go see my avatar. | 0:05:58 | 0:06:03 | |
I'm quite disturbed that it has taken my clothes off! | 0:06:03 | 0:06:05 | |
Do I actually look like that? | 0:06:05 | 0:06:09 | |
Well, the avatar may not be that flattering, but there is also this | 0:06:09 | 0:06:12 | |
measurements section which estimates all your measurements, | 0:06:12 | 0:06:14 | |
which should help for purchasing clothes in the right size. | 0:06:14 | 0:06:18 | |
It is early days for the app with most of its partners only being | 0:06:18 | 0:06:22 | |
in France but over the coming months they plan on expanding into | 0:06:22 | 0:06:25 | |
the UK, German and US markets with a function to make sure you are | 0:06:25 | 0:06:28 | |
selecting the right size, being launched imminently. | 0:06:28 | 0:06:41 | |
Mtailor works in a similar way, | 0:06:41 | 0:06:43 | |
using the phone's camera to measure | 0:06:43 | 0:06:44 | |
men for their perfect fitting shirt in under 30 seconds. | 0:06:44 | 0:06:50 | |
As well as getting the sizing right and customised | 0:06:50 | 0:06:52 | |
designs, offer choices on fit, cuff, buttons, and all the trimmings with | 0:06:52 | 0:06:55 | |
an end result less costly than a real tailor making it. | 0:06:55 | 0:07:03 | |
Sometimes you know what you want but you struggled with where to find | 0:07:03 | 0:07:06 | |
it and that is why some retailers have started plugging artificial | 0:07:06 | 0:07:09 | |
intelligence engines into their offerings. | 0:07:09 | 0:07:15 | |
With Canadian shoe website, ShoeMe, for instance, instead of using words | 0:07:15 | 0:07:18 | |
to describe what you are after, you click on the pictures you like to | 0:07:18 | 0:07:21 | |
indicate what you were looking for. | 0:07:21 | 0:07:25 | |
I am thinking higher heels and I was after | 0:07:25 | 0:07:28 | |
a fringe or some kind of tassle. | 0:07:28 | 0:07:33 | |
The site uses artificial intelligence to prepare the shoes | 0:07:33 | 0:07:38 | |
you are looking for and I was surprised that out of nearly | 0:07:38 | 0:07:41 | |
30,000 pairs available here, it came out with these, what I had in mind, | 0:07:41 | 0:07:44 | |
with just about four clicks. | 0:07:44 | 0:07:46 | |
The background technology called sentient awareness should soon be | 0:07:46 | 0:07:49 | |
rolled out internationally across handbags, clothes, | 0:07:49 | 0:07:51 | |
jewellery and even property. | 0:07:51 | 0:07:59 | |
Most of this is still in its infancy but it does give us a taste | 0:07:59 | 0:08:03 | |
of how real our virtual shopping trips may feel in the future. | 0:08:03 | 0:08:15 | |
And finally, for this week, a true masterpiece. | 0:08:15 | 0:08:18 | |
Meet James, who has been building his own droids on his YouTube | 0:08:18 | 0:08:21 | |
channel for several years now. | 0:08:21 | 0:08:25 | |
This is part 19 of my 3-D printing Star Wars R6 project. | 0:08:25 | 0:08:30 | |
His videos have had over 60 million views and even lead to him being | 0:08:30 | 0:08:34 | |
offered a job creating, yep, robots. | 0:08:34 | 0:08:40 | |
And what better way to show off his maker skills then with a dance off? | 0:08:40 | 0:08:44 | |
And now, James and R6X4 perform the waltz. | 0:08:44 | 0:08:50 | |
LAUGHTER. | 0:08:54 | 0:08:57 | |
Look at it! | 0:08:57 | 0:09:05 | |
R6, as he is known to his Rebel friends, took over eight months | 0:09:05 | 0:09:08 | |
of work, 450 hours of 3-D printing, a little bit of hacking | 0:09:08 | 0:09:11 | |
and a whole lot of coding, much of which James created himself. | 0:09:11 | 0:09:14 | |
Yes, he is a fully functional droid come out right | 0:09:14 | 0:09:17 | |
down to the utility arms, periscope and retractable third leg. | 0:09:17 | 0:09:19 | |
Oi! | 0:09:19 | 0:09:20 | |
Keep that away from me, this is our first date! | 0:09:20 | 0:09:23 | |
But if that is not the droid you're looking for, witness the power | 0:09:23 | 0:09:26 | |
of this fully operational BB8! | 0:09:26 | 0:09:34 | |
Hello. | 0:09:34 | 0:09:38 | |
Now, BB8, for those of you not versed in the way of the force, | 0:09:38 | 0:09:41 | |
it the spherical droid that has proved a massive hit with Star Wars | 0:09:41 | 0:09:45 | |
fans all based on just a few seconds of footage in the new trailer. | 0:09:45 | 0:09:53 | |
When I first saw BB8 in the trailer, I thought there was no way that | 0:09:53 | 0:09:57 | |
could exist in the real world. | 0:09:57 | 0:10:00 | |
It had to be CGI, there was no way that head could balance on a body. | 0:10:00 | 0:10:07 | |
Since then I have been proven incredibly wrong, of course. | 0:10:07 | 0:10:09 | |
In a nutshell, how does the head stay on the body? | 0:10:09 | 0:10:12 | |
It has a magnetic coupling and the head has wheels underneath, so | 0:10:12 | 0:10:15 | |
it is moved around from the inside. | 0:10:15 | 0:10:18 | |
So it is stuck to it by magnets? | 0:10:18 | 0:10:20 | |
Very expensive magnets. | 0:10:20 | 0:10:24 | |
But balancing the head is not the hardest part, | 0:10:24 | 0:10:27 | |
it is actually keeping the internal stuff upright so the head can stick | 0:10:27 | 0:10:30 | |
to it, all of which took James many sleepless nights, some serious | 0:10:30 | 0:10:33 | |
maths, internal mechanics, his own code and a PID controller. | 0:10:33 | 0:10:36 | |
That's proportional integral derivitive controller. | 0:10:36 | 0:10:38 | |
But, of course, you knew that. | 0:10:38 | 0:10:42 | |
Inside we have a flywheel which spins around. | 0:10:42 | 0:10:52 | |
That is full of two pence pieces. | 0:10:52 | 0:10:53 | |
?11.62 to be precise. | 0:10:53 | 0:10:57 | |
As it spins, it pushes in the other direction | 0:10:57 | 0:10:59 | |
and if I move it very slowly, then I can spin it all around. | 0:10:59 | 0:11:03 | |
Just when you thought my Christmas had come early, next week is | 0:11:03 | 0:11:06 | |
the proper Click Christmas special and for that I can promise you all | 0:11:06 | 0:11:10 | |
kinds of festive weirdness. | 0:11:10 | 0:11:11 | |
We will see you then. | 0:11:11 | 0:11:13 | |
Yeah. | 0:11:13 | 0:11:14 | |
Same to you. | 0:11:14 | 0:11:18 |