People Analytics

Face Recognition

AI face recognition solution identifies people in live streams, matches them to authorized lists, and delivers privacy-conscious analytics for security, parking, attendance and retail insights.

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Real-time inference

On-premise or cloud

GDPR compliant

REST API & SDK

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

common.capabilities

Advantages of Face Recognition

Search and facial recognition in real time

View location and movement of a person with instant notification that such person has been found

Face identification and finding a match against a database of faces

Detection of additional information: gender, age, race, emotions with unbiased technology

Face identification with additional characteristics like beard, mustache, glasses, face shield, mask

Creating lists of people whose movement should be controlled

Creating White/Black & VIP Lists

Supports database import (CSV) and export (EXCEL/PDF/CSV/JSON)

Ability to process statistical data and generate reports

Business logic constructor

Cross-platform and multilingual interface

Process

How It Works

Capture

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

Detect & encode

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

Match & decision

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

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

IncoreSoft AI face recognition delivers high accuracy, real-time search, and seamless integrations to enhance security and operations.

Why choose our AI face recognition software?

This is not vaporware - it’s practical technology engineered for real operations. Drawing from our experience, organizations pick face recognition for three simple reasons: faster response, frictionless access, and richer operational data. Want fewer queues at gates? Faster threat detection? Better attendance tracking? We’ve built for that.

Up to 99.35% facial recognition accuracy on calibrated camera setups (day/night, good angle). As indicated by our tests, accuracy depends on camera placement and lighting.
Up to 200 simultaneously recognized faces per frame at requested resolution - useful for busy lobbies and transit hubs.
High-volume capacity: more than 100 million recognized-face events for one client in a month in large deployments (analytics/archival workflows).
Real-time search & match: instant lookup against VIP, blacklist, or staff lists.
Accessory & appearance detection: beard, mustache, glasses, face shield, mask, plus age-range estimation and non-identifying demographic summaries (aggregated only).
Export & integrations: CSV / Excel / PDF / JSON exports; MySQL, PostgreSQL, MS SQL, Oracle support.
Business logic constructor & RBAC: build alerts and pipelines, fine-grained user rights, and audit trails.
Cross-platform, multilingual UI for global teams.

IncoreSoft delivers AI-powered face recognition to enhance safety, streamline access, and optimize operations.

Real products & tools we work with

We integrate with common camera and compute ecosystems so you don’t have a forklift upgrade:

Cameras: Axis, Hikvision, Dahua (ONVIF/RTSP).
Edge hardware: NVIDIA Jetson family, Intel NUC, dedicated GPU servers.
Cloud & APIs: Microsoft Azure Face API, Amazon Rekognition and open frameworks (OpenCV, dlib, FaceNet, PyTorch models).
VMS & Access: Milestone, Genetec and custom door access systems.

IncoreSoft offers flexible face recognition deployments - Edge, Cloud, or Hybrid - to fit any operation.

Deployment choices: Cloud vs Edge vs Hybrid (quick table)

OptionBest forProsCons

EdgeLow-latency gates, privacy-sensitive sitesLow bandwidth, faster alerts, data stays localHigher hardware cost, local maintenance

CloudCentralized analytics, multi-site correlationEasy scaling, centralized updatesBandwidth, possible higher latency

HybridLarge deployments with many sitesBest of both: local inference + central indexMore complex architecture

Use cases - where face recognition pays back fast

Safe City & Public Safety

Alerts for missing persons, suspect re-identification across cameras, and faster situational awareness for control rooms. When we trialed this product in municipal pilots, response times to critical alerts improved significantly thanks to real-time routing of video and notifications.

Retail & VIP Experience

Identify loyalty members as they enter and instantly push tailored offers, accelerate checkout for recognized customers, and strengthen loss-prevention workflows to improve overall retail efficiency.

Industry

Enhance industrial safety and efficiency with face recognition systems that control access to restricted zones, monitor compliance with safety protocols, and prevent unauthorized entry. Manufacturers reduce downtime and improve workforce accountability by integrating with existing security and ERP systems.

Frequently Asked Questions

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