Pedestrian crossing object detection

Inspiration wouldnt it be cool if you just keep on driving without hitting a single object that's what motivated me a lot

What it does the tech we used in here is object detection algorithms and a laser sensor we train ai in large language models like created by openai to make sure ai would detect a pedestrian crossing the road and also what if the pedestrian is miles away can we even detect that so that the vehicle would slow down according to the safety standards that's possible with the help of light sensor in which it can detect objects from far apart

How we built it we used ml and reinforcement learning for ai to learn about the person movements and everything from hand gesture and leg movement everything and we used the cloud system two communicate 2 way

Challenges we ran into i don't know that much about rl but to actually create a language it took several attempts in which creating a language models is to actually train an ai system

Accomplishments that we're proud of not yet done but created some model which can actually recognise small objects like pencil and other small things and even recognise me only me

What we learned

How to train an ai system so that sensor takes the input sends that info to ai to neural networks for answer it's all an experiment and i love it

What's next for Pedestrian crossing object detection the next thing would be smart breaking how can we optamize electronic computer unit in our cars to actually send the direct signals to breaking system so that I could stop the car automatically and even look back of the same car and communicate with it by vehcle to vehcle communication which the car or computer inside it will learn to communicate with another car to avoid further accidents and speed limit.

Built With

• machine-learning
• python
• tensorflow