Public Bank of Taiwan rolls out Kneron edge AI facial recognition

The Public Bank of Taiwan has embraced U.S.-based Kneron’s edge facial recognition solution to boost door security and for its attendance management systems, following Kneron’s partnership with TUNG-I Information Service (TIIS), the artificial intelligence company announced.

Faced with increasing, sophisticated attacks aiming to deceive facial recognition security services, Kneron claims its solution has a 99.95 percent accuracy and was chosen by Public Bank of Taiwan for its lightweight accuracy, anti-fraud detection capability, and visual recognition speed, which Kneron says is under 100 milliseconds.

Facial recognition security, as well as other biometric technologies, have been widely deployed in East Asia for a number of services, Kneron points out, including security systems, payment services, public transportation, and travel and hospitality services.

“We are very impressed with Kneron’s Facial Recognition edge AI solution for door security and attendance management applications,” said the project leader of Public Bank of Taiwan. “Its high accuracy and fast response times lower our operational expense, raises our administrative efficiency and provides higher security to our organization.”

“We are excited to have a major financial institution validate what we’ve been working towards, and that is enabling secure on-device edge AI solutions everywhere,” said Albert Liu, Kneron founder and CEO. “This is just the beginning as we continue to prove the flexibility of our technology through more upcoming market-ready products launching with our solutions in them.”

In March 2018, Kneron announced its facial recognition solution unlocks entry level and mid-range smartphones in 0.2 seconds, with an error rate lower than one in ten thousand. In July, Kneron announced that its facial biometric algorithm scored the best aggregate rating among all lightweight biometric facial recognition models under 64MB in the NIST Face Recognition Vendor Test (FRVT) 2019.

Article Topics

access management  |  artificial intelligence  |  biometrics  |  biometrics at the edge  |  facial recognition  |  Kneron  |  time and attendance