Accident-Detection-Model and Accident_detection_Model

Accident-Detection-Model
31
Emerging
Accident_detection_Model
20
Experimental
Maintenance 0/25
Adoption 8/25
Maturity 8/25
Community 15/25
Maintenance 10/25
Adoption 2/25
Maturity 8/25
Community 0/25
Stars: 65
Forks: 11
Downloads: —
Commits (30d): 0
Language: Jupyter Notebook
License: —
Stars: 2
Forks: —
Downloads: —
Commits (30d): 0
Language: Python
License: —
No License Stale 6m No Package No Dependents
No License No Package No Dependents

About Accident-Detection-Model

shubhankar-shandilya-india/Accident-Detection-Model

Accident Detection Model using Deep Learning, OpenCV, Machine Learning, Artificial Intelligence.

This project helps traffic management and emergency services personnel automatically detect road accidents from live camera feeds, videos, or images. It takes visual data as input and identifies whether an accident has occurred, flagging potential incidents for faster response. The primary users are individuals responsible for monitoring road safety and coordinating emergency responses.

traffic-management road-safety emergency-response incident-detection public-safety

About Accident_detection_Model

Anurag-Basuri/Accident_detection_Model

This is a supervised machine-learning project — the models learn from human-labelled datasets where each sample is tagged as either Accident or Non-Accident.

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