ISO/ICAO-compliant neural architecture delivering high-fidelity face matching across diverse demographics, extreme lighting, pose variation, aging, and unconstrained environments — validated on real-world Aadhaar field data.
Experience frictionless facial recognition designed for the edge. Our proprietary AI algorithm performs detection, quality assessment, and seamless matching directly on standard hardware.
High-speed verification alongside powerful 1:N recognition capabilities to support frictionless identity checks at scale.
Works smoothly even with substantial age gaps between probe and enrollment images.
Proprietary AI tested extensively across varied demographics to eliminate any racial or gender bias and ensure universal accuracy.
A powerful pipeline optimized for unconstrained environments. Built on an advanced proprietary AI model validated on diverse demographics.
Advanced AI module fine-tuned and tested extensively across highly diverse demographics, and environmental conditions (i.e. lighting, pose variation, etc.) for unbiased, high-accuracy recognition.
Engineered for high scalability. Supports lightning-fast 1:1 verification and highly scalable 1:N identification against massive galleries without dropping accuracy. Smaller template size enables efficient storage and retrieval.
Real-time assessment of illumination uniformity, sharpness, expression neutrality, background compliance, and eye visibility per ISO 19794-5 and ICAO 9303 standards.
Works seamlessly even with significant age gaps between the probe and enrollment images. Proven reliability across all age groups from children to older adults, validated comprehensively in the field.
Evaluated on the world's hardest face benchmark — real enrollment images with extreme demographic diversity, environmental & sensor variations, and multi-year age gaps. Not lab data, rather noisy field-dataset.
Get in touch with our engineering team for deployment requirements and integration timeline.