FB pixel

Homsh Tech develops iris recognition ASIC for smartphone and other integrations

 

Iris recognition company Wuhan Homsh Technology is working with a mobile phone solution manufacturer to integrate its Qianxin QX8001 iris recognition ASIC, after what the company says is the first successful tape-out and scale production of an ASIC for iris recognition. The development of the chip represents a major step toward Homsh Tech’s corporate vision of delivering iris recognition “anywhere, anytime,” the company announced.

The Qianxin QX8001 is the product of seven years of effort and millions of dollars in investment, and leverages Homsh Tech’s resources and core microelectronic design technologies. The chip has already passed robust tests for functionality and performance, according to the announcement.

The QX8001 uses a 40nm semiconductor process in its fabrication, and is available in QFN44 and QFN68 packages, with dimensions 5mm by 5mm by 1mm and 7mm by 7mm by 1mm, respectively. It processes high-definition 1920×1080-pixel images at 100MHz, with an image encoding speed of 100 milliseconds. This gives it a matching speed of 90,000 templates per second, with a monocular FAR of 10-7 and FRR of 10-3, with an average power consumption of only 0.1 watt.

Homsh Tech says the QX8001 is also uniquely cost-effective, making it suitable for integration in wearables, smartphones, smart door locks and access devices, and a variety of use cases. The chip can also be integrated into specialist equipment for use in iris enrollment, police, customs and border applications.

According to a Google translation of icnsmart.cn, Homsh Tech’s iris recognition technology works to a range of 40 to 60 cm with a 2-megapixel camera.

Infinity Optics CEO Alfred Chan told Biometric Update earlier this year ago that his company is working with chip manufacturers to enable mobile devices to utilize the company’s dual facial and iris biometrics.

Related Posts

Article Topics

 |   |   |   | 

Latest Biometrics News

Comments

Leave a Reply

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Most Read This Week

Featured Company

Biometrics Research

Biometrics White Papers

Biometrics Events

Explaining Biometrics