Abstract:
We propose CCTV footage-based theft detection and motion-based theft tracking. We utilize image analysis and motion tracking to discover and track burglars in CCTV footage. System improves theft detection without sensors.
This software detects thief motion using foreground detection and blob analysis. This system detects items. We only process the initial video frame that separates moving objects from the background. We employed image preprocessing to reduce noise and fill gaps in recognized items.
Blob analysis identified related components. System rejects little items. After detecting large item motion, bounding box is created. Sms messages or remote alerting systems might replace the beep sound when the system detects a theft.
Note: Please discuss with our team before submitting this abstract to the college. This Abstract or Synopsis varies based on student project requirements.
Did you like this final year project?
To download this project Code with thesis report and project training... Click Here
