Computer Vision · Biometrics Prahari Line · PRAHARI–VZ

ViZSense

ViZSense learns and stores faces to build a searchable recognition model, then uses it for real-time tracking, attendance, and watchlist matching — in retail stores, offices, and secured installations alike.

Accuracy

98.2% face-match

Latency

Real-time, multi-camera

Deployment

Cloud, on-prem, or air-gapped

Request a demo → Jump to defense variant

General Release

Commercial use cases

Retail loyalty recognition and repeat-visitor analytics
Office and campus attendance tracking
Fraud prevention at point-of-sale and self-checkout
Public-space security and access control

Prahari Line

Army-specific applications

Gate and entry-point identity verification at unit HQs and messes
Automated attendance and movement tracking within cantonment premises
Watchlist matching for repeated or unauthorized visitors at sensitive installations
Auditable entry/exit logs for security review

How it works

Sensor to decision, in one pipeline.

Camera Feed

Existing CCTV or dedicated sensors

Recognition Engine

Face match against enrolled model

Verification

Match, mismatch, or watchlist hit

Audit Log

Timestamped, searchable record

Specification

What you're actually deploying.

Core capability

Real-time face detection, enrollment, and re-identification across multiple camera feeds

Accuracy

98.2% match accuracy, demonstrated in production deployment

Integration

Works with existing CCTV/IP camera infrastructure; no proprietary hardware required

Deployment

Cloud, on-premise, or fully air-gapped for restricted environments

Data handling

Enrolled face data stored locally within the deployment boundary

ViZSense

Commercial use cases

Army-specific applications

Sensor to decision, in one pipeline.

What you're actually deploying.

Pairs well with

Argus Guard

Argus Traffic

Meridian