00:00My name is Kaushik Bhakwekhtar, I am a DRDO Young Scientist Lab for AI in Bangalore.
00:07These products have been created by our lab.
00:11The first thing is based in the system under a business.
00:15We have seen a lot of different systems that we have done.
00:19Even if we are in mobile, we have based in vision.
00:23This is very different.
00:25Look, we are mainly focused on three things.
00:28The first thing is a low resolution surveillance camera.
00:33Since there is a surveillance camera, there is a lot of resolution as compared to other phones.
00:39And in low resolution, it covers a lot of area.
00:43So, we do it in the phone.
00:45So, when there is a small screen, there is a small screen in the phone.
00:50So, this small resolution should be found.
01:09The third thing is different lighting conditions.
01:17If there is light or dark light, there is a lot of brightness.
01:22In all these situations, we have to pay attention to our system.
01:28For this, we have a corporate trust and trust from all over the parts of our country.
01:35We have trained our model with that and our system has already deployed.
01:39It is a security agency.
01:41We have a different system with our user trials.
01:44We have developed this second system.
01:50It is called Smart Helmet.
01:55This is like GPS or no GPS environment.
02:00In this building, we can not do a map in this building.
02:05We can map it in this building.
02:08These sensors can help us.
02:09These sensors can actually create a 3D map.
02:13In this 3D map, you can also localize them.
02:16The 3D map is exactly where you are.
02:18This is the hostess situation in a building.
02:22In this building, we can say that there is a drone.
02:24These sensors mount them.
02:26They call him the 2D map.
02:30The 3D map is able to build a map.
02:31And by the way, though, our soldiers,
02:34this sensor and helmet mounted sensors will all go.
02:39In that place, the commander will get a complete picture.
02:42In this building, we can tell them who is on,
02:45he will know what started.
02:47And we will be in a better position.
02:48will have a better situational awareness and planning of the mission is better in this case.
02:55The third correct is the speech translation system.
03:02So in this speech translation system, it is first of its 10 device.
03:06So in this device, all AI models work in this device.
03:10It is not connected to Interfax or any server.
03:13It will work in this whole translation.
03:14As of now, it will work in Mandarin.
03:19So now we have 10 languages.
03:23What does this mean?
03:28The Chinese counterparts are in Chinese.
03:32So if they are talking about something,
03:35they can be able to capture this.
03:38We will know what they want to speak.
03:41So this is the solution.
03:44If we want to do something in the future,
03:49this is a new device.
03:51Human-machine teaming.
03:53We have seen human-machine teaming.
03:56We have seen human-machine teaming.
03:58We have seen human-machine teaming.
04:11Human-machine teaming.
04:12Well, they are saying that you have to choose this building
04:13or that you are in.
04:14Then there are many people around there and that me know.
04:16So here is a machine.
04:19Automatically you can send the instructions I designed.
04:21Conseil Cr Nasus and theilsting Frame
04:22and send my instructions to ask,
04:23you note in tasks and in verify that you can confirm the real-machineヤ sector time.
04:26As of now, we uhm to that.
04:29So it's a difficult challenge.
04:30But we're looking at reality.
04:32This is our future challenge.
04:33When will this come?
04:36We are thinking that within the next two years we will have a working POC
04:40and once we have a POC we will go with user trials and take their feedback into the system
04:45and we would like to see that this system is related in 2 years
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