AI SecuritySmart HomeComputer Vision2023
Advanced AI Home Security Project
By Gibran Khan Tareen
Implementation of advanced AI-powered computer vision for residential security: real-time detection, alert systems, and edge deployment.
Abstract
This project investigates the application of computer vision and machine learning to home security systems. The work explores real-time object detection, anomaly identification, and alert generation using edge-deployable AI models, with emphasis on privacy-preserving local processing.
Key Findings
- Achieved real-time threat detection with sub-200ms latency on edge devices
- Privacy-first architecture: all processing done locally with no cloud dependency
- Reduced false positive rate significantly compared to motion-only detection systems
- Cost-effective deployment on consumer-grade hardware