Typical target platform:
Raspberry Pi3
CPU: 4xARM Cortex A53 1.2GHz
RAM: 1 GB
Benchmark:
Face detection: 206 ms
Face template extraction: 450 ms
Top-Performing Facial Recognition Available on Compact Platforms
Contact UsTechnological advances allow the use of compact platforms and smartphones for facial recognition.
In April 2019, our algorithm for recognizing wild faces dataset emerged as the most accurate in the world among over 100 competitors. We are one of the best in every relevant NIST FRVT category.
Read moreWith our thriving R&D team, we are at the forefront of the development of facial recognition technology. We are further improving our native algorithms every day.
We are able to port our libraries on any hardware. Due to the small overhead, they are able to perform efficiently even in RAM constrained environments, making our technology accessible in widely available platforms for daily use.
Raspberry Pi3
CPU: 4xARM Cortex A53 1.2GHz
RAM: 1 GB
Benchmark:
Face detection: 206 ms
Face template extraction: 450 ms
Qualcomm Snapdragon
CPU: 8x ARM Cortex A53
RAM: 1 GB
Benchmark:
Face detection: 110 ms
Face template extraction: 293 ms