P2N2 AI Algorithm

Finger Vein

The P2N2 AI Engine enables the integrated identification of fingerprints, finger veins, faces, and irises.

Fast Speed
Improved execution speed of biometric authentication algorithms through image size reduction techniques.
Improved Learning Time
Minimum Learning Time Algorithm (MLTA) incorporating Proportional-Integral-Derivative (PID) feedback control technology significantly enhances learning time by over 200% compared to traditional neural networks.
Lightweight
Developed and validated a lightweight AI algorithm optimized for physical biometric authentication.
Application Flexibility
‍Applicable to various biometric recognition algorithms.
Easily Ported
Designed algorithms are easily ported to embedded CPUs through lightweight code, resulting in faster performance and cost savings.

CONTACT

Reach out to our team to learn how you can level up your access technology today.

info@g-knot.io