Skip to content

ShreyanshBardia/AccidentDetection

Repository files navigation

AccidentDetection

A demo notebook to try the project can be foubd here Open In Colab detecting car accidents involving two or more cars.

Description

This project can be used to detect accidents on the go from the CCTV footage and then notify respective authorities so that the required help can be provided as soon as possible.

In brief, using DeepSort we assign unique ID to each car and track its movement. We calculate trajectory of all the cars and if two cars are in near proximity with their trajectories intersecting at a near point, we detect it as a crash. Various conditions have been kept in mind to make the project deployable and robust such as a still car, car overtaking each other etc. A detailed report can be found in the files section. We achieved an 81% precision and 81% recall.

Below are demo examples

All cars are detected with a green mask, whereas cars involved in crash have been detected with an orange-red mask

Example 1

https://drive.google.com/drive/folders/10p44ywca8K1mRUSJFYt2UXMlwJmF9nNM

Example 2

https://drive.google.com/drive/folders/10p44ywca8K1mRUSJFYt2UXMlwJmF9nNM

If the above examples are not visible, take a look at examples here

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published