People Analytics

Face Recognition

IncoreSoft’s AI face recognition module of VEZHA system: up to 99.35% accuracy, 200 faces/frame, GDPR-ready privacy controls, and integrations for attendance, access control, retail and safe city projects.

Real-time inference
On-premise or cloud
GDPR compliant
REST API & SDK
99.3%98.7%99.4%VIP MATCH
CAM-01 • 4K
Match Found
99.35%
Confidence
VIP List
Watchlist
0.02s
Latency
200Faces/frame
99.35%Accuracy
100M+Processed
99.35%
Facial recognition accuracy
200
Simultaneously recognized faces in the frame at requested resolution
>100M
Recognized faces for 1 client within 1 month period of time
Process

How It Works

01

Capture

IP / ONVIF cameras stream to edge nodes or directly to our service. Metadata (time, camera ID, zone) is attached.

02

Detect & encode

faces are detected in each frame; embeddings (vector representations) are generated.

03

Match & decision

embeddings are matched to on-prem or cloud indexes using configurable thresholds, then business logic runs (alerts, access, billing).

04

Action & audit

real-time notifications, gate control, attendance logs, reports - all with encrypted storage and audit trails.

Integrations

Works With Your Existing Stack

Deploy alongside your current cameras, hardware, and VMS - no forklift upgrade required.

IP Cameras

Any ONVIF / RTSP stream

Axis CommunicationsBosch Security SystemsDahua TechnologyHanwha VisionHikvisionVivotekUniview (UNV)MilesightRTSPONVIF

VMS Platforms

Native plugin & SDK support

VMS VezhaMilestoneGenetecNx WitnessAvigilon

Edge Hardware

GPU-accelerated inference

NVIDIA JetsonIntel NUCGPU ServerCloud
FAQ

Frequently Asked Questions

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