Skip to content

Latest commit

 

History

History
49 lines (26 loc) · 1.32 KB

README.md

File metadata and controls

49 lines (26 loc) · 1.32 KB
Raw

Hits

Introduction

This repository was built to showcase Vehicle Collision Detection using TFOD framework. Here we used ssd_mobilenet_v1_coco Algorithm from TFOD model zoo.

Idea was to develop Collision Detection which could alert driver before there is a Collision. Here we have create a Area of Interest if any Vehicle whose bounding boxes cordinate falls inside this Area of Interest and the distance between the two points is below thresh hold in that case we alert the driver.

To see other models from Model Zoo please use link (https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md)

Output

Run Locally

Clone the project

  git clone https://github.com/nabarunbaruaAIML/Vehicle-Collision-Detection.git

Go to the project directory

  cd Vehicle-Collision-Detection

Install dependencies

  pip install -r requirements.txt

Start the server

  python3 Collision_detection.py

License

MIT