This product is a finger vein recognition module based on a 32-bit ARM Cortex-M4F core, the operating frequency is up to 192MHz. Supports floating-point algorithm calculation and DSP instruction set, enabling efficient execution of biometric recognition algorithms. The module adopts a separated NIR light design, making it easy to integrate into various terminal devices and enhancing overall system integration.

The module interface is compatible with industry-standard fingerprint recognition protocols and offers excellent platform adaptability and scalability, enabling rapid integration and development. It is suitable for applications such as smart door locks, push-pull or concealed door handles, compact smart storage cabinets, and access control and attendance systems, providing a high-precision and highly reliable identity authentication solution.

• Thin-type finger vein recognition module with a mounting thickness of 8.29mm
• High-precision integrated all-in-one design with no redundant internal wiring, high design reliability
• Based on SOC microcontroller system architecture with a high-performance finger vein algorithm engine, supports EAL4+ security certification
• The standby current is less than 5uA, the working current is less than 19.5mA, and the power-up response time is less than 20ms, making it one of the products with excellent energy efficiency optimization in the industry
• Fully enclosed structure with no exposed components except for the wiring connectors. Conforms to industrial-grade Triple-Proof standard, and the waterproof level reaches IP56
• Supports USB and UART serial communication
• The module interface is compatible with the fingerprint industry standard, more convenient for integration and development
• The module algorithm features adaptability, and supports both fingerprint protocol and private protocol
• Adopts a separated design, the near-infrared (NIR) light source is physically separated from the finger vein module and mounted opposite the finger vein window, centered and within a 50mm range

• After long-term use, dust may accumulate on the surface of the collection window and affect finger vein recognition performance. It is recommended to clean the device regularly.
• You can use a cotton swab dipped in a small amount of alcohol to wipe the collection window. If alcohol is not available, high-proof liquor can be used as an alternative. Do not use cleaning agents like PCB board cleaners or electric contact cleaners.
• Avoid impact from sharp objects on the collection window.
• Avoid using the device in rain, direct sunlight, and strong magnetic or high electrical fields.
• Keep metal objects and conductive materials away from the surface of the collection window to prevent physical damage.