1. Easy to use, no need to understand fingerprint algorithms or internal structure. Just simple instructions can complete the corresponding operations
2. Built-in commercial algorithms, supporting fingerprint input, fingerprint comparison, fingerprint image extraction and fingerprint feature value upload functions. Stable performance, fast recognition speed
3. Capacitive fingerprint recognition, sensitive sensing, fingers can be quickly identified by gently touching the collection window
4. High hardware integration, the main control and fingerprint sensor are integrated as one, convenient to embed in small-sized applications
5. Built-in human body sensing device, with power-off sleep and touch wake-up functions, lower power consumption
6. The collection window is equipped with LED, providing fingerprint collection indication
7. Built-in UART serial communication interface
8. Convenient to connect to PC for communication with the host computer, also supports embedded hardware platforms such as STM32 and Raspberry Pi
Parameters
1. Sensor type: capacitive touch sensor
2. Resolution: 508 DPI
3. Image pixel array: 192 x 192
4. Fingerprint template size: 448 bytes
5. Sensor size: 9.6 x 9.6 mm
6. Fingerprint capacity: 1000
7. Comparison time: less than 0.5s (1 : N, and N is less than or equal to 500)
8. Forgery rate: less than 0.001% (security level 3)
9. False rejection rate: less than 2% (security level 3)
10. Operating voltage: 3.3V
11. Operating current: less than 60mA
12. Electrostatic test: SD IEC 61000-4-2 LEVEL 4 ±15KV airborne discharge
13. Communication interface: UART (TTL)
14. Communication baud rate: 115200bps (supports 9600bps - 115200bps)
15. Working environment: temperature: -10°C - 60°C; humidity: 0%RH - 90%RH (no frost formation)
16. Packaging list: UART Fingerprint Sensor (G) x 1, SH1.0 6PIN connection cable about 150mm x 1, SH1.0 6PIN double-ended cable about 170mm x 1