Security Multi-Agent System

Overview

A multi-agent simulation system modeling interactions between autonomous drones, security cameras, and security personnel in a prison environment.

Key Achievements

• Autonomous Surveillance: Implemented an autonomous drone that performs aerial patrols and detects suspicious activities using computer vision.
• Integrated Security System: Created a system where fixed cameras and personnel collaborate in real-time to respond to detected threats.
• Real-time Threat Detection: Utilized AI to identify potential security breaches and coordinate appropriate responses.

Technologies Used

• Unity: For creating the 3D simulation environment.
• Python: Backend for AI algorithms and agent behavior.
• Computer Vision: For threat detection and surveillance.
• Autonomous Agents: For simulating independent security entities.