The Video-based Accident Detection System built in Python

Related tags

Deep LearningAccident-detection-system
Overview

Accident-detection-system

About the Project

This Repository contains the Video-based Accident Detection System built in Python.

Contributors

Yukta Gopalani

Snehal Suryavanshi

Alka Trivedi

Sampada Kathar

Asha Jyothi Donga

Taniya Adil

Packages Requirements

Packages Required installation commands
cv2 pip install opencv-python
numpy pip install numpy
tensorflow pip install tensorflow
patool pip install patool

Instruction to Run the Project

  1. Clone the repository into your system using the command "git clone https://github.com/snehal2841/Accident-detection-system.git "
  2. Install all the packages mentioned above.
  3. Navigate to the directory.
  4. python download.py
  5. By running above command, it will create an accdet.rar file, which you have to unzip in the same folder and copy its content to the path of main folder.
  6. python Object_detection_video.py

Dataset Used

For training we have used following standard dataset.

  1. Oxford Drive Datasets
  2. ACD3( Accident Detection dataset, Unsupervised Traffic Accident Detection in First-Person Videos)
  3. CADP (Unsupervised Traffic Accident Detection in First-Person Videos)

The dataset for this project is a video. That is present in the repository as "testvideo.mp4".

Owner
SURYAVANSHI SNEHAL BALKRISHNA
IIIT Allahabad B. Tech (IT)
SURYAVANSHI SNEHAL BALKRISHNA
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