FPC1020 fingerprint module is a high-end semiconductor fingerprint recognition module developed by Edward. It has a compact structure, supports embedded systems, Windows systems and various Android system devices. It adopts standard USB/UART communication and cooperates with SDK development kits, which can easily achieve all the customer's fingerprint recognition function requirements. Run a new generation of high-performance IDFinger fingerprint recognition algorithm, with fast fingerprint recognition and high accuracy. It has the characteristics of high image quality and effective prevention of false recognition such as fake fingers and fake finger films. IDFinger fingerprint recognition algorithm is widely praised, especially with self-learning function. During the fingerprint recognition process, the newly extracted fingerprint feature value is fused into the fingerprint database after the recognition of the successful fingerprint feature value, so that the user will use the better during the use process.
technical parameter:
| project | description |
| Model | IDWD1020 |
| CPU | ID809/808 |
| Fingerprint sensor | FPC1020 dpi: 508 pixels: 192*192 |
| Fingerprint capacity | 170/500/1700/3000 |
| False acceptance rate (FAR) | <0.001% (security level Security is 3) |
| Rejection rate (FRR) | <0.1% (security level Security is 3) |
| Comparison method | 1:N and 1:1 comparison1:N and 1:1 comparison |
| Fingerprint template size | 1008 bytes |
| Security level setting | Level 1 to Level 5 can be set, the factory setting value: Level 3 |
| Processing speed | fingerprint feature extraction time <1 |
| second 1: N comparison time (200 full registration) <0.8 second |
| Communication interface | Communication interface: UART, 3.3V-TTL level |
| Baud rate | Baud rate 9600, 19200, 38400, 57600, 115200 (bps) |
| Factory setting: 115200bps |
| Working voltage | DC3.3V±10% |
| Working current | ＜40mA |
| Working environment | Operating temperature: -10℃-60℃ |
| Relative humidity: 20%–80% |
The FPC1020 fingerprint module is widely used in access control attendance, door locks, safes and other embedded systems and Android smart mobile terminals, mobile identity authentication, and various other applications requiring identity recognition.