YAP Pakistan
Production-grade AI-powered KYC solution that has successfully onboarded 100K+ users through automated identity verification, face liveness detection, and biometric face matching.
Computer Vision & SecurityVISION TRANSFORMERlive2022
Trueface
Enterprise computer vision platform for facial recognition, identity verification, and anti-spoofing. Delivers SDKs and containerized solutions for AI-powered video analytics.
Key Metric
100%
Validation Accuracy
Across live worksite deployments in production.
REF: FACIAL_RECOGNITION
Trueface is an enterprise-grade computer vision platform that provides facial recognition, liveness detection, and anti-spoofing capabilities through containerized SDKs and cloud APIs. Deployed at construction sites, enterprise campuses, and critical infrastructure facilities, Trueface processes live video streams to control physical access, verify identities, and flag unauthorized individuals in real time—all while running fully on-premise to satisfy strict data-residency requirements.
Enterprise security teams need reliable, high-throughput facial recognition that works in outdoor and low-light environments without sending biometric data to the cloud. Existing cloud-first vendors couldn't meet air-gapped deployment requirements, and on-premise alternatives lacked the accuracy needed for high-security access control at scale.
On-Premise Inference Engine
PyTorch models packaged as Docker containers run entirely within the customer's infrastructure. No biometric data leaves the facility—the SDK streams embeddings locally and matches against an encrypted on-site database.
Multi-Modal Spoofing Defense
A three-stage pipeline (texture analysis → depth estimation → temporal liveness) rejects photo prints, video replays, and silicone-mask attacks, maintaining accuracy under adverse lighting and occlusion.
- 01.
Performs real-time facial recognition at 30fps against enrollment databases of up to 1 million identities.
- 02.
Detects and rejects spoofing attacks including photos, videos, and 3D masks with a false-accept rate below 0.01%.
- 03.
Integrates with access-control hardware via REST API or SDK, supporting turnstiles, badge readers, and CCTV systems.
100%
Validation Accuracy
Across live worksite deployments in production.
30fps
Real-Time Processing
Live video stream analysis at full frame rate.
0.01%
False Accept Rate
Against spoofing attacks in controlled evaluations.
