00:00Thank you very much.
00:30Thank you very much.
02:18How many drones will be made from it?
02:20Yes, there are many.
02:22There are 5,000-10,000 drones.
02:24But those drones, their computers also come in a million.
02:28So, finally, you have been using a yoga operation.
02:32Yes, what is it?
02:34What is it?
02:36So, this was our prosthetic arm.
02:38In America and India, it started very new.
02:42For robotic hands.
02:44Now, the cost of robotic hands is a lot.
02:46For robotic hands, you can use it for many purposes.
02:50For example, if you have robotic surgery,
02:54you don't have two grippers.
02:56You don't have to mimic your hands.
02:58But this can be a robotic hand.
03:00This is a spider robot.
03:02This is a little bit of surveillance.
03:04This is a little bit of surveillance.
03:06In this case, there are two grippers.
03:08You can't mimic your hands.
03:10But this can be a robotic hand.
03:12This is a spider robot.
03:14You can use it for surveillance.
03:16You can use it for surveillance.
03:18That's it.
03:20Yes, sir.
03:22So, my name is Pragya Singh.
03:24And I am a B.T.E.C. second-year student.
03:26So, basically, this is a spider robot.
03:28We mimic the spider's walk.
03:30So, in small places,
03:32for surveillance,
03:33there are accidents,
03:34such as coal mining, etc.
03:35There are accidents.
03:36So, if there are accidents,
03:37there are accidents under the stone.
03:39Then, we can send this robot.
03:41So, in this case,
03:42we have put facial recognition and hand recognition.
03:44and put human body parts.
03:46When I can tell from the rock below,
03:48if there are any human beings,
03:49then, I will show you how to work and see it.
03:51Because you will show it.
03:52You will show it.
03:53And you will show it.
03:54Work and be shown.
03:55This is the camera.
03:56This is the camera.
03:57It is not the camera.
03:58This is the camera.
03:59This is the camera.
04:00It is the camera.
04:01It is the camera.
04:02It is now giving you a live feed.
04:03It is now.
04:04It is on this website.
04:05It is on this website.
04:06You can also access it.
04:07You can see it.
04:09So this is open and you can see it live.
04:15So you can see it as a control station outside.
04:19You can send it inside the robot.
04:21So you can control it outside.
04:23And we can do the control mechanism in other ways.
04:27The other way is put on board.
04:29As you can see it, it moves.
04:31Is it moving here?
04:33The other way is moving.
04:37Now we can control it as a controller.
04:41So we can do it automatically.
04:43How much time can it work?
04:45It depends.
04:47If we are in the cave,
04:49we can send it to the cave 500 meters.
04:51My name is Vansh.
04:53I am a second year of Lingyaj.
04:55We have created a smart education system.
04:59It helps farmers to automate it.
05:03We have discussed this problem with farmers.
05:07They have a lot of difficulty in labor costing.
05:09They have a lot of problems.
05:11They have a lot of problems.
05:13So what will it happen?
05:15Because of this,
05:17it will reduce labor.
05:19It is a tumor detection system.
05:21Is there a tumor detection system?
05:23Yes.
05:24We have to put it in the brain.
05:26Then we have to predict it.
05:28Then we have to predict it.
05:29The accuracy is very good.
05:30It has to be 99% of it.
05:32Then we will predict it.
05:33We will already tell you
05:34if you have a tumor or not.
05:36This can be used mainly.
05:38If you don't have much knowledge
05:40about what is happening in this MRI.
05:42Sometimes there is not a doctor available.
05:44They can see it in itself.
05:45You can see it in the brain.
05:46You can see it in the brain.
05:47You can see it in the brain.
05:48How much of a tumor is in the brain?
05:49You can see it in the brain.
05:50You can see it in the brain.
05:51Yes, you can see it in the brain.
05:52How much time did you make it?
05:53It took 3-4 days.
05:54We had to train the model
05:55as we had to train the model.
05:56It was open source.
05:57We had to take 7000 MRI pictures.
06:00Then we trained it.
06:02And it was out of accuracy.
06:03It didn't happen.
06:04It was the same type of stress
06:05you had to take.
06:06Okay.
06:07It was about this.
06:08So we have to be able to get this.
06:10It has to be able to take them out of the brain.
06:12It has to be able to use these nuances,
06:13you can see it, you can see whatever you're using.
06:14It has to be able to use it.
06:15Absolutely.
06:16It has to be able to discuss this.
06:17And I think it's all about this.
06:18It has to be able to do this in the brain.
06:20After all the problems,
06:23these problems are going to be able to be able to do this.
06:25Certainly.
06:29As I said,
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