Intozi’s AI face recognition software uses AI-powered video analytics to identify and verify individuals in real time, enabling secure authentication, automated access control, and proactive security monitoring across any environment.
Key Features
Identify individuals with high precision using NIST-certified face recognition models proven to perform reliably in real-world conditions.
Detect and match multiple faces in a single frame in real-time using facial recognition software built for live video.
Manage secure entry with face recognition for access control, allowing only authorized individuals into restricted areas.
Automate workforce attendance with a face recognition attendance system integrated with HRMS for accurate attendance management.
Trigger real-time alerts when listed or suspicious individuals are detected, enabling faster security response.
Distinguish real faces from photos, videos, or masks using anti-spoofing liveness detection for trusted authentication.
Advanced Face Recognition with AI-Driven Insights
Intelligent Face Recognition & Identity Management
Verify identities the moment a face appears using AI identity verification. The system matches faces against an existing database in real time, enabling fast, secure authentication and access control.
Designed for real-world environments, this AI face recognition software performs accurately across varying lighting, angles, and distances. Powered by deep learning, it delivers consistent, dependable recognition for reliable identity verification.
Recognize multiple faces simultaneously, even from a distance, supporting security across large entrances, lobbies, and public spaces.
Intozi’s face recognition system combines computer vision and edge AI to deliver accurate identification at scale. The platform scales across multiple sites and supports unified video analytics for modern security and identity management.
Streamline visitor management and access control with automated face-based entry, reducing manual checks and improving on-site security.
Transform recognition data into actionable insights. Dashboards and real-time alerts highlight unauthorized access attempts and flagged individuals, enabling faster security response.
AI Face Recognition How Does It Work?
Capture live video from existing CCTV cameras
Detect faces in real time using AI models
Extract and encode unique facial features
Match faces against an existing database
Verify identities using liveness checks
Generate real-time alerts and access decisions
Where AI Face Recognition Adds Value
Automate employee identification, attendance management, and secure access control.
Verify identities and flag watchlisted individuals in real time.
Strengthen security with accurate, contactless identity verification and authentication.
Manage entry, identify VIPs, and detect flagged individuals in real-time.
Control access and automate attendance management across campuses.
Secure restricted areas and authenticate staff reliably.
Detect repeat visitors and support loss prevention through real-time identification.
Protect high-security sites with trusted face-based access control.
Key Benefits of AI Face Recognition
Allow only authorized individuals to access secure areas.
Enable fast, touch-free access control and attendance management.
Match faces reliably using NIST-certified recognition models.
Trigger instant alerts for flagged or unauthorized individuals.
Integrate seamlessly with HRMS, access control, and security systems.
Prevent spoofing and fraud with advanced liveness detection.
Frequently Asked Questions
Facial recognition is an AI-powered technology that identifies or verifies individuals by analysing their facial features from images or video. The software detects a face, converts it into a unique digital signature, and matches it against a database, enabling secure, contactless identity verification for access control, attendance management, and security.
Face recognition works by detecting a face in a video feed, extracting its unique features such as the distance between facial points, and encoding them into a mathematical template. This template is matched against an existing database to confirm identity in real time. Liveness detection ensures the face is genuine, preventing spoofing with photos, videos, or masks.
AI face recognition software is highly accurate, especially when built on NIST-certified models. It maintains reliable performance across varying lighting, angles, and distances by using deep learning and continuous improvement. This accuracy makes it dependable for high-security environments where precise identification is essential.
Yes. Intozi’s face recognition software integrates with existing CCTV cameras, NVRs, and VMS platforms. AI models run on current video feeds, allowing organizations to use their existing infrastructure. This makes deployment faster, more cost-effective, and easy to scale across multiple sites.
Yes. The software includes liveness detection and anti-spoofing technology that distinguishes real human faces from photos, videos, or masks. This ensures only live individuals are authenticated, protecting against fraud and strengthening overall security
Ikshana is Intozi’s AI video analytics platform that powers face recognition alongside other analytics and safety modules. It runs AI models on existing CCTV feeds to deliver real-time identity verification, alerts, and reporting through a single dashboard. The platform is modular, allowing organizations to scale face recognition across multiple sites and combine it with people counting, crowd analytics, and other safety solutions in one system.
