ACCIDENT DETECTION SYSTEM

Inspiration

Inspiration of this project to contribute in the traffic management system because of late management millions of peoples died in the road accident . This project can help them to speed up the communication between the police or disaster control group

What it does

It can detect the accident of vehicles in the road traffic system.

How we built it

This model is built using via training the Convolution Neural Network which includes these 4 things :

1. data: Kaggle dataset on Accident Detection from CCTV footage.
2. accident-classification.ipynb: This is a jupyter notebook that generates a model to classify the above data. This file generates two important files model.json and model_weights.h5.
3. detection.py: This file loads the Accident Detection system with the help of model.json and model_weights.h5 files.
4. camera.py: It packs the camera and executes the detection.py file on the video dividing it frame by frame and displaying the percentage of the prediction in the accident (if present) in the frame. ## Challenges we ran into To tune the dataset for the proper detection of the accident. ## Accomplishments that we're proud of I am proud of that I have develop this system to help the community ## What we learned

What's next for ACCIDENT DETECTION SYSTEM

Built With

• cnn
• keras
• python
• tensorflow