AI SURVEILLANCE FOR ROBBERY PREDICTION AND WEAPON DETECTION IN INDOOR CAMERAS

Supervisor:

Asst.Prof. MADHU K

Team Members

MUHAMMED FAHAD VKP(STM20CS038)
ASHWANTH ANILKUMAR (STM20CS016)
KIRAN DINESH(STM20CS033)
ASHWIN K(STM20CS017)

Description

Traditional indoor camera systems lacked advanced AI capabilities for
precise crime prediction and asset protection.
Our aim is to leverage the capabilities of YOLOv5 and DeepSORT for
Robbery Behavior Potential (RBP) prediction, while also incorporating
YOLOv5 for weapon detection. This strategic approach sets the course for
the development of a robust indoor surveillance system.