- Plug-and-Play Integration: Specifically optimized for the pcDuino environment but fully compatible with all TTL serial microcontrollers.
- High-Speed Matching: Advanced internal algorithms allow for fingerprint matching (1:N) in under one second, even with a full database.
- Onboard Storage: Includes built-in Flash memory to store fingerprint templates locally, ensuring data persists even after power-off.
- Adjustable Security Levels: Users can set the security threshold (Levels 1–5) to prioritize either maximum security or maximum convenience.
- Durable Optical Window: The toughened glass scanning surface is resistant to scratches and static, ensuring a long operational lifespan in high-traffic areas.
- Comprehensive Library Support: Works with standard fingerprint libraries, making coding for “Enroll,” “Empty Database,” and “Identify” straightforward.
PcDuino fingerprint module fingerprint identification module
| Operating Voltage | DC 3.6V – 6.0V |
|---|---|
| Operating Current | <120mA (Peak) |
| Fingerprint Capacity | 162 Templates (Standard) / Expandable up to 1000 |
| Resolution | 500 DPI |
| Fingerprint Image Size | 256 x 288 pixels |
| Search Time | < 1.0 second (average) |
| Communication Interface | UART (TTL Logic Levels) |
| Baud Rate | 9600 – 115200 bps (Default: 57600) |
| False Acceptance Rate (FAR) | < 0.001% |
| False Rejection Rate (FRR) | < 1.0% |
| Operating Temperature | -20°C to +50°C |





- Single User / Maker Projects: Secure DIY safes, biometric PC power switches, personalized smart mirrors, and “keyless” bike locks.
- Business / Enterprise: Secure tool crib access, employee time-tracking, multi-user filing cabinet locks, and secondary authentication for sensitive server rooms.
Yes. By using a USB-to-TTL Serial adapter, you can connect this module to a PC and manage the fingerprint database using various open-source software tools or custom Python scripts.
Yes. The module does not store an actual image of the fingerprint. Instead, it creates and stores a mathematical “template” or feature map. This ensures that even if the data were intercepted, an actual fingerprint image cannot be reconstructed.
The standard pcDuino-compatible module typically holds 162 fingerprint templates. This is usually more than enough for home use or small-to-medium office teams.
While you can write your own serial commands, most users prefer using the Adafruit Fingerprint Sensor Library or the specific pcDuino C++ libraries, which simplify the process to a few lines of code.
The internal algorithm is designed to be 360-degree rotationally independent to a high degree. As long as the core of the fingerprint is placed on the sensor, it will identify the user regardless of orientation.
No. As an optical sensor, it requires direct contact between the finger and the glass window to capture the ridges and valleys of the fingerprint via light reflection.











