PrajnixVision is our AI-powered CCTV analytics platform — transforming passive surveillance cameras into proactive, intelligent safety systems for campuses, hospitals, and smart cities.
Our YOLOv8-based detection engine analyzes every frame for unauthorized access, violent behavior, abandoned objects, and fire/smoke — triggering alerts before incidents escalate.
Understand foot traffic patterns, identify congestion hotspots, and optimize space utilization in real time. Perfect for university campuses, hospitals, and public spaces.
Live Crowd Density
PrajnixVision uses skeletal pose estimation and silhouette-based re-identification instead of facial recognition — complying with PDPB 2023 and GDPR principles without sacrificing security.
We detect behaviour, not identities. People are tracked as anonymous silhouettes.
Monitor entry points, hostels, labs, and parking. Automatic roll-call via camera zones. Integrate with student ID systems for smarter access control.
Detect patient falls, alert for restricted zone access, track sanitization compliance, and monitor patient safety without invasive biometric data collection.
Traffic management, crowd control at events, public area incident response — all centrally monitored in a smart city command dashboard.
PPE compliance detection, forklift collision warnings, restricted zone enforcement, and fire/smoke alerts across large industrial facilities.
Shopper heatmaps, dwell-time analytics, theft behavior detection, and queue management — actionable retail intelligence from existing cameras.
Perimeter monitoring, vehicle tracking, and situation-awareness dashboards for government facilities, checkpoints, and critical infrastructure.
PrajnixVision runs on commodity GPU hardware and integrates with any RTSP-compatible camera. No proprietary hardware required.
All plans include onboarding, 24/7 support, and free software updates. No hidden per-camera fees.
Up to 10 camera streams
Up to 50 camera streams
Unlimited streams · On-premise