Intelligent AI Face Analytics

Redefining Identity. Securing Access. Scaling Intelligence.

Multiply Intelligence with AI

Obzerve Face Flow transforms identity verification and surveillance into intelligent, secure, and privacy-aware systems.

From contactless access control and attendance tracking to watchlist alerting and multi-camera monitoring, Face Flow brings AI-powered facial intelligence to existing IP camera environments.

Face Flow is built around two core capabilities:

Face IT — AI-powered face-based access control, identity verification, attendance, and access management.
Face OFF — Large-scale facial surveillance intelligence for watchlists, person-of-interest detection, multi-camera monitoring, and crowd analytics.

Whether deployed for controlled access points or large monitored environments, Face Flow helps security and operations teams turn video into actionable identity intelligence.

Face IT — Access Control Revolution

Replace traditional access cards, PINs, and manual identity verification with contactless facial authentication.

Face IT enables organizations to verify enrolled users at doors, gates, turnstiles, and other controlled access points. It combines facial recognition with access policies, real-time logging, attendance tracking, and automated access workflows.

Ideal for corporate campuses, factories, residential communities, airports, educational institutions, and critical infrastructure.

Key Capabilities

Contactless Face-Based Entry
Real-Time Identity Verification
Sub-Second Authentication
Real-Time Access Logging
Attendance & Shift Tracking
Role-Based Access Permissions
Time-Based Access Rules

Access Policy Management

Control who can access specific locations, zones, and time windows with configurable access policies.

User & Access Configuration

Single or bulk user enrollment
Department-based user grouping
Role-based access permissions
Time-of-day access windows
Zone-based access permissions
Temporary access with expiry dates

Face Flow helps organizations manage access centrally while reducing dependence on physical cards, shared credentials, and manual verification.

Device & Gate Integration

Face IT works with existing access control environments to support automated entry and identity verification.

Integration Options

Existing access control systems
Automatic door and gate triggers
Turnstile integration
Elevator access control
IP camera environments
API-based integration with supported systems

Face Flow can connect facial recognition with physical access workflows, helping organizations create a more seamless and contactless entry experience.

Real-Time Access Logging & Analytics

Monitor access activity as it happens and maintain searchable records for operational visibility.

Access Monitoring

Entry and exit logs with timestamps
Real-time access dashboard
Late-entry alerts
Attendance and shift reports
Access frequency analytics
Department-wise access breakdown
Suspicious repeated-attempt detection

Historical access information can also support audits, attendance review, incident investigation, and operational reporting.

Face OFF — Large-Scale Surveillance Intelligence

Face OFF extends facial recognition beyond access points to large-scale surveillance environments.

It enables organizations to monitor multiple cameras, identify persons of interest, receive watchlist alerts, and support crowd monitoring across large or complex sites.

Face OFF is designed for environments such as airports, transportation hubs, event venues, campuses, smart-city deployments, and high-security facilities.

Key Capabilities

Watchlist-Based Alerting
n:n Face Matching
Real-Time Person-of-Interest Detection
Multi-Camera Face Recognition
Multi-Camera Tracking
Crowd Density Monitoring
Configurable Detection Controls
Centralized Monitoring Dashboard

Watchlist Management

Watchlist Configuration

Blacklist and restricted-person lists
VIP and priority watchlists
Custom watch categories
Bulk image enrollment
Watchlist expiration controls
Real-time watchlist alerts

Security teams can manage watchlists centrally and receive alerts when a watchlisted person is detected within the monitored environment.

Detection Controls

Detection Configuration

Recognition confidence thresholds
Camera-specific tuning
Real-time alert filtering
Duplicate alert suppression
Detection-specific configuration
Alert escalation workflows

These controls help teams manage recognition performance and reduce unnecessary alerts across large-scale deployments.

Deployment Modes

Edge-Based Recognition

Facial recognition processing can run locally at the deployment location, supporting low-latency processing and reducing dependency on cloud connectivity.

Near-Edge Processing

With Obzerve Near Edge (ONE), facial recognition workloads can be processed closer to the cameras while providing centralized monitoring and management.

Hybrid Server Architecture

For larger environments, Face Flow can support server-based processing and centralized management across connected camera environments.
Deployment architecture can be selected based on site requirements, camera infrastructure, processing needs, and data-handling policies.

Security Without Compromising Privacy

Obzerve Face Flow is designed with configurable privacy and data-control features for organizations deploying facial recognition in sensitive environments.

Privacy Features

Edge Processing
Configurable Data Retention Policies
Encrypted Face Templates
Role-Based Data Access Control
Audit Trails & Compliance Logs
Opt-In / Consent-Based Deployment Models

With edge deployment, facial recognition processing and data storage can remain within the organization’s environment, depending on the selected architecture and configuration.

Face Flow is designed to support organizations working within data protection frameworks such as GDPR and CCPA. Whether a deployment meets a specific regulation depends on its configuration, policies, and applicable requirements.

Performance & Requirements

Recognition Performance

95%+ recognition performance under suitable conditions
Sub-second authentication for access control use cases
Simultaneous face detection per frame
Support for low-light environments with suitable IR cameras
24/7 operation
Edge and near-edge inference options

System Requirements for Near-Edge Deployment

IP camera capable of capturing clear facial images
Obzerve ONE Box for near-edge deployment
1080p camera resolution recommended
Stable and suitable lighting
Network connectivity for dashboards, alerts, and system communication

Camera Positioning Guidelines

Full Control, Intelligent Simplicity

Single-user live camera enrollment
Bulk image upload
Department and role tagging
Access privilege assignment
Temporary user configuration
User and watchlist management

Real-time recognition feed
Watchlist alerts
Attendance dashboard
Access activity monitoring
Incident logs
Historical search by name, date, or camera

Daily attendance reports
Peak entry analysis
Crowd density trends
Watchlist alert reports
Historical event search
PDF, CSV, and Excel reporting
API integration

Real-World Identity & Surveillance Applications

See how organizations can use Obzerve Face Flow to improve access control and security monitoring.

Corporate Campus Access Control

Replace access cards for 3,000 employees

Airport Surveillance System

Monitor high passenger volume & identify watchlist individuals

Optimize Your Recognition Performance

Get more consistent facial recognition results by following deployment best practices.

Use frontal face capture wherever possible.
Maintain consistent and adequate lighting.
Avoid extreme face angles during enrollment and recognition.
Use dedicated cameras for controlled access points.
Minimize facial occlusion and obstructions.
Position cameras at suitable heights and distances.
Regularly update enrolled users and watchlists.
Configure recognition thresholds according to the deployment environment.

Frequently Asked Questions

Browse through our FAQs for clear, concise answers to your most pressing questions.

What is Obzerve Face Flow?

Obzerve Face Flow is AI facial recognition software for contactless access control, identity verification, and large-scale multi-camera surveillance. It includes Face IT for access control and Face OFF for surveillance intelligence.

How accurate is Face Flow?

Face Flow delivers 95%+ recognition performance under suitable conditions. Actual results depend on camera quality, positioning, lighting, image quality, and deployment configuration.

Is facial data stored in the cloud?

Not necessarily. With edge deployment, facial recognition processing and storage can remain within the organization’s local environment, depending on the selected architecture and configuration.

Can Face Flow integrate with existing access control systems?

Yes. Face Flow can integrate with existing access control environments, including doors, gates, turnstiles, elevators, IP cameras, and supported third-party systems.

Can Face Flow handle large crowds and multiple cameras?

Yes. Face OFF supports multi-camera facial recognition, n:n face matching, person-of-interest detection, watchlist alerting, and crowd monitoring for large surveillance environments.

Ready to Upgrade Your Identity Intelligence?

Identify people faster, enhance security, and maintain control over sensitive facial data with Obzerve Face Flow.