Built for smart cards
id3Face MOC is a face recognition algorithm specifically designed and optimized for card-based systems. It offers the same biometric accuracy as server-based systems but with enhanced privacy as the reference face data remains on the card. The algorithm is provided as a software library coded in C language and compiled on request for your specific secure IC chip.
Our match-on-card algorithm is based on the latest deep learning techniques and uses 68 facial feature points.
Low resource requirements
The memory footprint of the library (code size) is less than 1 kB and only 100 bytes of RAM is required for the comparison process.
Fast comparison time
Our algorithms are very fast and run is less than 20 ms on a standard IC chip.
Small face descriptor
Our algorithm works with our proprietary compact face descriptor which is only 264 bytes.
National ID cards
You want to know more?
Feel free to contact us for more information.