HS-V7TP Venous Recognition Module - A High-Precision Biometric Core Component

Product Overview

Core Functions and Technical Features

1. Full-Process Venous Recognition Processing

      ● Venous information collection: It penetrates tissues with near-infrared light to accurately capture the distribution characteristics of subcutaneous venous blood vessels (different from the principle of "ocular texture collection" in iris recognition, venous recognition focuses on the shape of subcutaneous blood vessels);

      ● Signal processing and template generation: A built-in filtering algorithm removes noise interference, and venous feature contrast is enhanced through binarization. Finally, a venous feature template of ≤1K bytes is generated (template naming format: FV-U (ID).xgd);

      ● Recognition mode and speed: It supports two recognition modes: 1:1 (unlimited and expandable) and 1:N (100 users supported by default), and the recognition speed is as fast as <0.6 seconds, meeting the needs of rapid authentication.

2. High-Performance Hardware and Algorithm Support

      ● Computing power guarantee: Equipped with a 144MHz 32-bit Cortex-M architecture high-performance processor (SOC), it provides sufficient computing power for venous recognition algorithms (filtering, binarization, template matching, etc.);

      ● Self-learning optimization: With a self-learning function, for targets with low recognition hit rates, "fusion learning" is given priority to optimize recognition effects, ensuring recognition stability during long-term use;

      ● Multi-platform compatibility: It supports driver-free virtual CD mode USB 2.0 and full-duplex UART with a maximum speed of 115200bps, and is compatible with multiple system platforms such as Windows, Windows CE, Linux, Android, and MCU, greatly simplifying integration difficulty.

3. High-Reliability Recognition Performance

      ● False Recognition Rate (FAR) as low as 0.0001%: Greatly reducing the risk of "unauthorized persons passing by mistake";

      ● Rejection Rate (FRR) is only 0.01% (in high-security scenarios): Reducing the probability of "authorized persons being rejected by mistake";
      ● The combination of double low error rates and the self-learning ability makes identity authentication both secure and smooth.

Hardware Specifications and Environmental Adaptability

1. Electrical and Power Consumption Parameters

      ● Operating voltage: Supports DC 5.0V (±3%) or DC 3.3V (±3%), adapting to different power supply scenarios;

      ● Power consumption control: The working standby current is ≤27.5mA, and the sleep standby current is ≤2μA, with excellent energy-saving performance; the power supply end needs to ensure a current output of ≥500mA;

      ● Fast startup: Supports capacitive induction power-on, and the system startup time is <10ms, with extremely rapid response.

2. Physical and Environmental Parameters

      ● Size and material: The module size is 55.5mm (length) × 50.8mm (width) × 32.4mm (depth), and its compact design can be adapted to various devices; the shell is made of ABS+PC/V0 fireproof material, which combines strength and fire resistance;

      ● Environmental tolerance: Operating temperature range -30℃~70℃, humidity 20%~80% RH; storage temperature -40℃~85℃, humidity 10% RH~95% RH, meeting the harsh environmental requirements of industrial-grade scenarios;

      ● Electrostatic protection: It passes the ESD electrostatic test, with contact discharge ±8kV and air discharge ±15kV, strong anti-interference ability, and adapts to complex electromagnetic environments.

Typical Application Scenarios

      ● Intelligent cabinets: File confidentiality cabinets, ammunition cabinets, medical consumables cabinets, load-bearing cabinets, changing clothes and shoe cabinets, tool management cabinets, sealed cabinets, etc. (ensuring the security of cabinet opening authority through venous recognition);

      ● Access control: Access control and attendance systems, smart door locks (replacing traditional card swiping/passwords to achieve contactless and efficient authentication of "swipe and recognize");

      ● Mobile terminals: Integrated into handheld devices and smart terminals (such as industrial PDAs, security inspection devices) to achieve rapid identity authentication and authority management.

Summary of Core Advantages

      1.Accurate and efficient recognition: Fast recognition in <0.6 seconds, with a false recognition rate of 0.0001% and a rejection rate of 0.01%, and the self-learning function continuously optimizes recognition effects;

      2.Friendly and flexible integration: Multi-communication interfaces + multi-system compatibility greatly reduce the threshold for secondary development and integration;

      3.Strong environmental adaptability: Industrial-grade temperature, humidity, and electrostatic protection capabilities, stably coping with complex scenarios;

      4.Outstanding security attributes: Venous biometric features are naturally anti-counterfeiting, improving the security of identity authentication from the root.