Square Capacitive Fingerprint Sensor for Door Lock

Features

• - Spatial resolution 508 DPI
• - 2D sensor array of 192×192 pixels
• - Sensing area 9.6 mm x 9.6 mm
• - SIP package size：12.8mm x 12.8mm x 0.7mm
• - Built-in 8-bit ADC for digitizing the image
• - The built-in programmable voltage reference
• - High-speed SPI interface
• - 0.8 sec readout time(TBD)
• - Support 160-byte on-chip data FIFO
• - 65Volt ~ 3.6Volt for I/O communication
• - Advanced SiP package to reduce the size and provide better water and dust protection
• - Windowing function to crop the smaller image
• - Finger detection function to detect the finger on the sensor
• - Interrupt pin to wake up host when the finger on the sensor at standby mode
• - 1mA power consumption at standby mode
• - 1uA power consumption at power-down mode

Overview

The MFC-1502 fingerprint sensor is based on capacitive-touch technology with a hardened surface and enhanced ESD strength. The built-in analog and digital circuitries minimize the of external components and provide easy-to-use, standard SPI interface to microprocessors.

The operation of the MFC-1502 fingerprint sensor is as following, a fingerprint image captured by pixel array, delivery fingerprint ridge or valley onverter and digital processor, then to the serial periral interface for data-reading. The image quality of the MFC-1502 fingerprint sensor can be adjusted by setting gain, offset and reference voltage parameters internally. In addition, the internal operation parameters and interface speed can also be configured to meet various finger conditions.

MFC-1502 capacitive fingerprint sensor also has a finger detection function and windowing function for different applications such as door lock or access control. This sensor is 100% made in Taiwan. We also provide the custom ROM service.

Fingerprint Recognition Algorithm Support

• - Good adaptability to dry, wet, or fuzzy fingerprint
• - Repair the fractured fingerprints automatically
• - Great anti-deformation ability
• - Supporting 360 °Authentication
• - Self-learning during usage
• - Fingerprint Template Size < 1KB
• - Verification speed < 700 ms