sumedh2424/Suspicious-Activity-Detection
Proposing a novel machine learning-based approach for real-time suspicious activity detection in surveillance videos to enhance public safety and prevent terrorism, theft, accidents, and criminal activities.
This system helps security and operations teams automatically detect unusual events in live CCTV footage. It takes real-time video feeds from surveillance cameras and classifies human activities as 'usual' or 'unusual,' generating immediate alerts for suspicious behavior. Security personnel, facility managers, and public safety officers would use this to enhance monitoring in sensitive or public areas.
Use this if you need an automated way to monitor live surveillance video for potentially dangerous activities like theft, fighting, or vandalism in places such as bus stations, banks, or schools.
Not ideal if you primarily need to analyze pre-recorded footage offline or require highly nuanced classification of non-suspicious human interactions.
Stars
10
Forks
4
Language
Python
License
MIT
Category
Last pushed
Dec 24, 2025
Commits (30d)
0
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