Surveillance monitoring

Video Analytics

The Surveillance Monitoring system is an intelligent video analytics platform that processes real-time video streams to detect anomalies, unauthorized access, suspicious activities, and behavioral patterns. Using advanced object tracking, YOLO (You Only Look Once) models, and anomaly detection algorithms, the system can monitor multiple video feeds simultaneously, identifying potential security threats and unusual activities. The platform provides real-time alerts, activity pattern analysis, and comprehensive reporting, making it an essential tool for security operations, facility management, and public safety applications.

Completed20248 months

Project Overview

Client:Secure Facilities Management
Duration:8 months
Team Size:9 developers
Status:Completed

Technologies Used

surveillance AIanomaly detectionvideo analyticsobject trackingYOLO

Key Features

  • Real-time video stream processing
  • Anomaly and intrusion detection
  • Object and person tracking
  • Activity pattern recognition
  • Multi-camera monitoring
  • Automated alert system

Challenges Overcome

  • Processing high-volume video streams in real-time
  • Reducing false positive alerts
  • Handling varying lighting conditions
  • Maintaining privacy compliance

Results Achieved

  • 95% accuracy in anomaly detection
  • 80% reduction in false alarms
  • 60% improvement in security response time
  • 70% reduction in security personnel costs