VAHAN

Accident Monitoring system for cities.

VAHAN (Vehicle Accident Hazard Notifier) is a web app that notifies the driver whenever there is an accident on the road. Along with that it also sends a message to the nearest police station and hospital with an accurate location of the accident.

• We aim to deploy our model using cameras on highways in a smart city.
• Bird’s eye view of the traffic is considered while predicting the collision of vehicles but still our model works well enough on different views as well.

Technologies Used:

• Tensorflow object Detection API (object detection)
• Socket.io (for real time communication)
• Node.js (sever side programming)

How to use :

Clone the repository and then :

• Crash Detection

  • Setup the object detection API
  • Run the crash_detection_model.py file using python3.
  • Ensure that you have the following libraries pre-installed.
    • numpy
    • six
    • tarfile
    • tensorflow
    • zipfile
    • requests
    • json
    • time
    • PIL
    • matplotlib
    • cv2

• Server Side

  Run the following commands in the terminal:

  npm install  
  nodemon server/server.js
  

Demo :