DM-P02 · Product
Auravex AI — Edge CCTV intelligence platform
Auravex AI turns existing CCTV networks into a real-time intelligence layer. Video is analyzed on NVIDIA Jetson edge devices at the site — detections, not raw footage, travel to the dashboard — which keeps bandwidth low and response fast.
Capabilities
What Auravex AI does
CCTV video analytics
Works with existing IP cameras over RTSP/ONVIF; no camera replacement required.
Edge inference on NVIDIA Jetson
Models run on-site; alerts raised in under a second without streaming video to the cloud.
Person & vehicle detection
Detection, counting and zone-based tracking across camera views.
Helmet / PPE detection
Compliance monitoring for factories and construction with shift-wise reports.
Crowd detection
Density thresholds per zone with escalation when limits are crossed.
Fire & smoke alerts
Visual early-warning detection alongside conventional fire systems.
Intrusion detection
Virtual perimeters, restricted zones and after-hours monitoring.
No-parking detection
Stationary-vehicle detection in marked zones with evidence snapshots.
ANPR-ready architecture
Number-plate recognition module for gates, tolls and enforcement workflows.
Multi-camera dashboard
Single console for hundreds of cameras across sites, with role-based access.
Incident reports
Every alert stored with snapshot, camera, zone and timestamp; exportable reports.
Architecture
How it's built
- 1
Site edge node: Jetson device running detection models per camera group
- 2
Local buffer: alerts and evidence stored on-site during network outages
- 3
Cloud console: multi-site dashboard, users, rules, reports
- 4
Integrations: SMS/email/webhooks, VMS and command centre feeds
Use cases
Where it fits
- City surveillance with edge processing at police stations
- Factory PPE compliance and restricted-area safety
- Campus and township perimeter security
- Housing society gate and common-area monitoring
- Retail footfall and queue analytics
- Transport depot and terminal safety