
Seventh Sense
Privacy-focused AI solutions for biometric verification and video analysis, ensuring security and GDPR compliance without biometric storage.

Advanced multi-object video analytics and facial recognition for high-security enterprise environments.

NtechLab is a market leader in biometric facial recognition and video analytics, prominently known for its FindFace Multi platform. By 2026, its technical architecture has evolved to utilize ultra-dense convolutional neural networks (CNNs) capable of simultaneous recognition of faces, silhouettes, and vehicles with sub-second latency. The platform is architected for massive scalability, supporting thousands of concurrent RTSP streams across distributed edge and cloud environments. Its 2026 market position is defined by 'Universal Re-identification,' allowing security and retail operators to track individual journeys across disconnected camera networks even when faces are obscured, using silhouette and clothing metadata. NtechLab differentiates itself through its top-tier performance in NIST (National Institute of Standards and Technology) benchmarks, consistently ranking as one of the fastest and most accurate search engines for 1:N matching against databases containing billions of records. The system includes robust anti-spoofing 'liveness' detection and is fully optimized for NVIDIA TensorRT acceleration, making it the architectural choice for smart cities, transport hubs, and high-security enterprise perimeters.
NtechLab is a market leader in biometric facial recognition and video analytics, prominently known for its FindFace Multi platform.
Explore all tools that specialize in verify identity. This domain focus ensures NtechLab (FindFace Multi) delivers optimized results for this specific requirement.
Explore all tools that specialize in detect liveness. This domain focus ensures NtechLab (FindFace Multi) delivers optimized results for this specific requirement.
Explore all tools that specialize in liveness detection. This domain focus ensures NtechLab (FindFace Multi) delivers optimized results for this specific requirement.
Uses skeletal and clothing metadata to track individuals across non-overlapping camera fields.
Neural network identification of vehicle make, model, color, and license plate simultaneously.
2D and 3D liveness checks to prevent presentation attacks using photos or masks.
Real-time counting and heat-mapping of dense crowds using top-down or angled views.
Extracts age, gender, beard presence, glasses, and emotional state from face crops.
Dynamic blurring of faces not in the 'authorized' watchlist to comply with GDPR.
Vector-based search optimized for high-dimensional biometric data across GPU clusters.
Hardware Audit: Verify NVIDIA GPU compatibility (TensorRT 8.x+ required).
Environment Setup: Install Linux Ubuntu 22.04 or 24.04 LTS.
Repository Access: Configure NtechLab private registry credentials.
Core Deployment: Install FindFace Multi core components via Docker or manual binaries.
Camera Integration: Connect video sources via RTSP or ONVIF protocols.
Threshold Tuning: Configure confidence scores for face and silhouette matching.
Database Migration: Import existing biometric watchlists or identity databases.
API Configuration: Setup RESTful endpoints for third-party application integration.
Liveness Activation: Enable 2D/3D anti-spoofing parameters for access control.
System Validation: Conduct load testing for concurrent stream processing and indexing.
All Set
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