Kneron launches Real Facial Recognition Solutions to unlock entry-level and mid-range smartphones
TAIPEI, Taiwan, Jan. 10, 2018 /PRNewswire/ -- Kneron, a leading provider of edge Artificial Intelligence (AI) solutions, today launched its Real Facial Recognition solutions to unlock entry level and mid-range smartphones. As long as a smartphone has a front camera, through Kneron's facial recognition software with deep learning technology, it can not only accurately recognize people's facial features, but also determine whether the face is real or not. It can rule out the risk of using photos and videos to unlock a smartphone within 0.2 seconds, with less than 0.0001 error rate. Additionally, one device can recognize several faces. Kneron's Real Facial Recognition solutions have been adopted by smartphone manufacturers and will be marketed worldwide through its partner GMobi.
Kneron launches Real Facial Recognition Solutions
"There are still many security flaws in traditional facial recognition technologies. For example, the smartphones can be unlocked by using photos and videos. In general, to eliminate the risks, other hardware components, such as infrared lenses and high-resolution lenses, must be embedded into the smartphones, and sometimes design changes are required," said Albert Liu, Kneron's CEO. "Kneron now provides innovative real facial recognition solutions to unlock entry level and mid-range smartphones. Only through the software update with no need to change hardware design or add other components, users can experience real-life facial recognition with high accuracy and high security."
"GMobi has professional experience in mobile Internet services for many years. We offer a wide range of advanced services to help customers to update their mobile devices and serve around 250 million end-users worldwide," said Paul Wu, GMobi's CEO. "Kneron's innovative Real Facial Recognition solutions allow AI technology be quickly embedded into smartphones and accelerate the popularity of face unlocking applications. We look forward to working with Kneron to promote the solutions to the global market and popularizing the face unlocking function to make it a feature that everyone can use."
Kneron Real Facial Recognition solutions integrate sophisticated facial recognition and deep learning technologies, which can recognize a real face within 0.2 seconds, with less than 0.0001 error rate. Additionally, one device can recognize several faces. Kneron Real Facial Recognition solutions include three technical versions: optical sensing analysis, biological behavior recognition, and background depth detection. Optical sensing analysis can determine whether a face is three-dimensional through analyzing the lighting variations on the face; biological behavior recognition integrates behavioral detection, such as eye blinking, to determine whether a face is real; the background depth detection solution can be used if there is an autofocus function in smartphone's front camera. It can analyze the scene depth of field to avoid unlocking by a two-dimensional image.
Front camera is suggested to support higher than 1 MP resolution.
Measured results will vary according to the smartphone hardware specifications.
General Mobile Corporation (GMobi) is a global provider of mobile Internet services and products. Founded in 2011, the company is invested by industry leaders including MediaTek, Trend Micro, SingTel Innov8 and CDIB. Our local offices are located in Taipei, Shanghai, Shenzhen, New Delhi, Singapore, Russia, and United State.
GMobi serves over 100 OEMs and supports more than 2000 Android models across different chipset platforms with more than 250M users worldwide, and the user number grows at the speed of 7M monthly. For more information about Gmobi, please visit: http://www.generalmobi.com/en/.
Kneron, established in San Diego in 2015, is a leading provider of edge AI solutions. It is dedicated to design and development of integrated software and hardware edge AI solutions for smart home, smart surveillance, smart phone, robot, drone, and IoT devices. For more information about Kneron, please visit: http://www.kneron.com/en.
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