Finger Vein Recognition Module with Liveness Detection, UART Interface, Thin-Type for Cortex

Finger Vein Recognition Module for Cortex UART Interfaces This thin-type finger vein recognition module is designed for Cortex UART communication interfaces and provides reliable biometric identification through finger vein liveness detection. Built around a 32-bit ARM Cortex-M4F processor running at 192MHz, the module supports the DSP instruction set, allowing biometric recognition algorithms to run efficiently. Its compact single-board construction makes it well suited to integration into a wide range of security and access control products. Design and Integration The module adopts a separated structure for the light board, which simplifies embedding into different devices and improves overall machine integration. The high-precision, densely integrated single-board circuit design keeps the footprint small while maintaining dependable performance. With good platform adaptability and scalability, the module supports rapid development and deployment in new or existing projects. Performance and Specifications The module responds in under one second and operates at a working voltage of 3.3V ±3%, drawing less than 19.5mA. Its dimensions are approximately 4 x 3.6cm (1.57 x 1.42in), making it suitable for space-constrained installations. These characteristics make it a practical choice for developers and manufacturers building biometric security features into their products. Typical Applications This finger vein recognition module is widely used in door locks, sliding handles, small lockers, access control systems and attendance systems, as well as other security devices where reliable identity verification is required. Its combination of compact size, low power consumption and efficient processing makes it a versatile component for embedded security applications. Package Contents The package includes one finger vein scanner module. Please note that slight measurement variations of 1-2cm may occur due to manual measuring, and monitor settings can affect how the product appears in images.