Supports liveness detection
Resists various attacks
Using a multimodal liveness anti-counterfeiting algorithm, it can effectively block attacks from photos,
videos, as well as various head models and dummy figures.
On the premise of a 99% pass rate, it can achieve a false recognition rate of less than one in a million.
Supports palm vein recognition
Higher security
Hidden under the skin, data is difficult to copy, safe and reliable, and not affected by dry or aging skin, as well as bright or dark environments.
Product Description
_The module is equipped with an AI main chip and dual 2-megapixel high-definition cameras, running a LINUX fast-boot operating system for quick startup. It embeds advanced algorithms, including face binocular 3D liveness detection, deep neural network recognition, QR code, palm print and palm vein recognition.
It outputs results via UART and supports USB transmission of audio and video, meeting both local and remote transmission needs.
It supports two modes: power-off low power consumption and constant power supply. In the constant power supply low power consumption automatic detection mode, it can automatically detect and recognize various identity information, facilitating the docking with third-party products.
It provides a UART protocol, requires no computing power support from third-party devices, is plug-and-play, and has strong versatility. It is suitable for upgrading various new and old products that require multi-identity authentication.