New Partnership to Bring Face-based Biometric Security to IoT Devices –


Canaan and Cathay Tri-Tech will work collectively to develop new IoT units with facial recognition capabilities. These units might be outfitted with Canaan’s AI facial recognition module, which in flip might be outfitted with the corporate’s Kendryte Ok210 AI chip.

Cathay is understood for designing and manufacturing communication terminals and different IoT units. The corporate will combine the facial recognition module into its new and present product strains to assist a variety of functions. For instance, the module can activate face-based entry management or be utilized in clever door locks and clever merchandising machines.

The Kendryte Ok210 chip relies on RISC-V-Edge expertise and can function the spine of the primary C-series edge computing merchandise within the Cathay portfolio. These merchandise will interface the chip with Cathay’s personal EVB analysis playing cards, SDKs and reference circuit designs. The module itself has an accuracy of 99.6 p.c and has a small, energy-efficient kind issue that makes it enticing to product builders.

Canaan relies in Beijing, whereas Cathay is a subsidiary of THine Electronics, which operates out of Yokohama, Japan. The partnership will assist Canaan develop its worldwide buyer base, which now extends to the US, Japan, Germany and South Korea markets.

“In comparison with different AI facial recognition modules, our module may be very aggressive in each dimension and energy consumption,” stated Nangeng Zhang, chairman and CEO of Canaan. “Trying forward, we consider that by constantly creating and creating our AI options, we will construct extra win-win relationships with corporations abroad.”

Canaan and Cathay hope to seize a part of a worldwide facial recognition market that’s anticipated to be price between $ eight.5 billion and $ 12 billion by the top of 2025. The entry management market can be anticipated to hit $ 12.eight billion in the identical forecast interval.

– –

(Initially revealed on FindBiometrics)



Source link

Leave a Comment