Mini LLM CCTV Analytics
BRIEF
Traditional CCTV systems record footage but cannot understand what is happening. We developed an AI-powered surveillance platform that combines Computer Vision with a Mini LLM to detect, track, analyze, and summarize security events in real time. Running on edge infrastructure, the solution delivers intelligent monitoring with low latency and enhanced privacy.
CHALLENGE
Security teams often spend hours reviewing surveillance footage to identify incidents. Conventional CCTV systems lack contextual understanding, making monitoring inefficient and reactive.
SOLUTION
We built a smart surveillance platform that detects people, vehicles, and objects, tracks movement across multiple camera feeds, identifies suspicious activities, and automatically generates natural language event summaries for security operators.
- Real-time object detection and tracking
- AI-generated natural language event summaries
- Behavioral analytics and anomaly detection
- Multi-camera surveillance support
- Privacy-friendly appearance-based identification
- Edge AI deployment for low-latency processing
Technology Stack
Python • YOLOv8 • ByteTrack • OpenCV • Mini LLM • Docker • REST APIs • Linux
Results
The platform reduced manual surveillance efforts, accelerated incident response, and transformed traditional CCTV systems into intelligent, AI-powered security solutions capable of delivering actionable insights in real time.
