Grove Capacitive Fingerprint Scanner
High-performance fingerprint recognition module with self-learning function and versatile compatibility.
- CPU: GD32
- Fingerprint Template Storage: Max. 100
- Connector: Grove UART
- Sensor Resolution: 508 DPI
- Sensor Pixel: 160*160
- False Rejection Rate: <1%
- False Acceptance Rate: <0.005%
- Sensor Size: ?14.9mm
- Power Consumption: Full speed: ?40 mA, Sleep: ?12uA
- Operating Voltage: 3.3V / 5V
- Operating Temperature: -20 ~ 70 ?
- Length (mm): 24
- Width (mm): 42
- Height (mm): 9.5
- Mounting hole diameter (mm): 2
- Weight (gm): 14
Features:
- 2KByte storage for up to 100 fingerprints
- Powerful self-learning function for improved accuracy
- Selectable security level
- Small size and low power consumption (10uA standby mode)
The Grove Capacitive Fingerprint Scanner, based on the KCT203Semiconductor fingerprint recognition module, offers fast and reliable fingerprint recognition. The system includes a high-performance MCU, a vertical RF push-type fingerprint sensor, and a touch sensing device. The module's small size, low power consumption, and high reliability make it ideal for various applications such as fingerprint lock devices (door locks, safes, etc.) and access control systems.
The module features a lovely RGB light to indicate successful fingerprint recognition. With the self-learning function, the fingerprint database continuously improves after each successful recognition, enhancing the overall user experience. The addition of a power level shift circuit on the Grove Driver board allows the module to work with both 3.3V and 5V systems.
Utilize the Grove UART connector and the provided Arduino library to easily create your own Arduino fingerprint sensor/scanner.
Package Includes:
- 1 x KCT203Semiconductor fingerprint recognition module
- 1 x Sensor cable
- 1 x Grove cable
- 1 x Grove driver board
* Images are for illustration only; actual product may vary.