visionguard
AI & Surveillance
(Research)
Identified delays in manual surveillance monitoring, where critical incidents are often missed due to human fatigue or limited screen coverage.
(Experiment)
Developing Computer Vision models trained to recognize suspicious behavior, unauthorized entry, and abandoned objects across multiple camera feeds.
(Results)
A proactive security layer that reduces response times by 80% and provides searchable video metadata for rapid forensic analysis.
(Key Achievements)
Real-time facial recognition and license plate tracking.
Automated alert system integrated with mobile and desktop devices.
Cloud-based storage with edge-computing for low-latency processing.
Scalable architecture supporting hundreds of concurrent camera streams.
VisionGuard Security
VisionGuard Security
