Details
Adopts high-performance Cortex core controller
Fast recognition, High stability, low power consumption, easy to assemble
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
Different from the traditional fingerprint module to capture surface fingerprint images, the finger vein recognition module utilizes near-infrared imaging technology to detect the absorption characteristics of hemoglobin in the blood under near-infrared light and obtain the vein distribution image within the finger. This method effectively avoids recognition failures caused by skin damage, abrasion, or surface contamination.
After collecting images, the module will perform a series of processing steps such as image enhancement, filtering, normalization, binarization, and feature extraction, to extract the spatial topological features of the vein pattern, enabling high-precision liveness identification. For users with unclear, worn, or missing fingerprints, finger vein recognition offers a more stable, reliable, and secure biometric alternative.
| SOC | 192MHZ 32-bit ARM Cortex-M4F microprocessor |
|---|---|
| User capacity | 100 ID |
| Recognition speed | <1s |
| Matching Method | 1:1 or 1:N |
| Vein template data | Single template ≤ 1K bytes |
| False Acceptance Rate | < 0.0001% (at high security level) |
| False Rejection Rate | 0.01% (at higher security level) |
| Communication interface | USB: Adaptive USB drive-free (Windows OS) |
| UART: 3.3V TTL, default baud rate: 57600bps | |
| Operating voltage | 3.3V (±3%) |
| Operating current | 19.5mA |
| standby current | ≤ 5uA |
| Dimensions | 39.98 × 34.92 × 8.29 (mm) |
| ENCLOSURE | ABS + PC |
| Fire rating | UL94-5VB |
| Waterproof rating | IP56 (except for the connectors and NIR light part) |
The module features a separated near-infrared (NIR) light design, significantly enhancing its versatility and integration flexibility. It can be easily embedded into various product structures, such as automatic smart door locks, push-pull or concealed door handles, compact smart cabinets, and simple access control systems, providing a more efficient and convenient solution for the functional upgrade of end products.
- 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.
Gently place the finger parallel to the collection window and touch both sensing points simultaneously
The entire finger vein pattern must be captured for successful enrollment
Make sure that the fingertip, middle section, and finger base are all accurately enrolled
Slightly change the finger position with each placement to ensure full coverage
All fingers are overly tense or stretched
Finger does not touch both sensing points
Finger touches the middle collection window
Finger is pressed down with excessive force
Connect to the USB port of PC via the adapter board and USB cable
Connect directly to the UART interface of the controller board via cables
* for reference only, the above controller board or host are NOT included.
Weight: 0.074 kg
Quick Overview
- Finger Vein Scanner Module (B) x1
- 3.3V adapter board x1
- MX1.25 6PIN cable x1
- MX1.25 6PIN to 2.54 cable x1
- MX1.25 5PIN cable x1
- Type-A male to MX1.25 4PIN cable x1
