VedOps' Facial Recognition System is a biometric identification platform for real-time watchlist matching, access control, and banking KYC verification across any camera infrastructure.
From a single door camera to a city-wide network — our FRS handles any scale with the same precision.
Detect and track multiple faces simultaneously across HD, 4K, and thermal camera feeds with sub-80ms latency.
Match detected faces against unlimited watchlists instantly. Instant alerts when a match is found, with confidence score and audit trail.
Identify subjects from side profiles, partially obscured faces, and angles up to 90° from frontal with our 3D landmark model.
Accurately identify individuals wearing masks, hats, sunglasses, or other face coverings using periocular and gait analysis.
Search recorded video archives by face. Find any person across months of footage in seconds using our indexed biometric database.
Track individuals across multiple cameras as they move through a location, building a complete movement timeline automatically.
Tested internally across diverse demographics and lighting conditions.
Identify suspects, missing persons, and wanted individuals in real time across city-wide camera networks.
Automated biometric passport verification, visa on arrival matching, and watchlist screening at checkpoints.
Replace key cards and PINs with frictionless facial authentication for office entry, server rooms, and restricted zones.
Screen thousands of attendees per minute at stadiums, concerts, and public gatherings with zero queue impact.
Verify customer identity at branches and ATMs. Detect imposters and biometric fraud attempts in real time.
Zero-error patient identification, infant protection, and staff authentication across hospital facilities.
Our FRS integrates natively with Serviallax for unified surveillance, or as a standalone SDK for custom deployments.
Drop-in module for Serviallax — add facial intelligence to your existing camera dashboard instantly.
Python, Node.js, and Java SDKs. RESTful API with webhook callbacks for match events.
Deploy on GPU edge devices, air-gapped servers, or cloud infrastructure — all data stays in your environment.
ONVIF, RTSP, 200+ camera brands. Works with any existing CCTV infrastructure.
| Capability | VedOps FRS | Generic Solutions |
|---|---|---|
| Frontal Accuracy | 99.7% | ~94% |
| Masked Face Support | ✓ 96.4% | ✗ Limited |
| Side Profile (>45°) | ✓ 93.8% | ✗ ~70% |
| On-Premise Deployment | ✓ Full | ✗ Cloud only |
| Edge / Air-Gapped | ✓ Supported | ✗ Not available |
| Movement Path Tracking | ✓ Cross-camera | ✗ Single camera |
| SIEM / SOC Integration | ✓ Native | ✗ Custom only |
| India Data Residency | ✓ Guaranteed | ✗ Not guaranteed |
VedOps' facial recognition system achieves 99.7% frontal identification accuracy in internal testing, with 96.4% accuracy on masked faces.
Yes. The system uses periocular and gait analysis to accurately identify individuals wearing masks, hats, sunglasses, or other face coverings.
Law enforcement, border and immigration authorities, banks for KYC verification, enterprises for access control, and event venues for security screening.
Yes. It is a drop-in module for Serviallax and is also available as a standalone SDK with Python, Node.js, and Java support for custom deployments.
Book a live demo with your own camera feed — see the system match faces in real time.