Round Capacitive Fingerprint Sensor With IP67

Features - Outlook is circular - Spatial resolution 508 DPI - 2D sensor array of 160×160 pixels - Sensing area 8 mm x 8 mm - SIP package size：12.2mm x 12.2mm x 0.45mm - 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-2160Q circular fingerprint sensor is based on capacitive-touched technology with a hardened surface and enhanced ESD strength. The built-in analog and digital circuits could minimize the number of external components, and provide easy-to-use standard SPI interface to microprocessors. The operation of the MFC-2160Q circular capacitive fingerprint sensor is as following, a fingerprint image captured by the pixel array, delivering fingerprint ridge or valley signals to A/D converter and digital processor, then to the serial peripheral interface for data-reading. The image quality of MFC-2160Q circular capacitive fingerprint sensor can be adjusted by setting gain, offset and reference voltage parameters internally. In addition, the internal operations and interface speed can also be configured to meet various finger conditions. MFC-2160Q circular capacitive fingerprint sensor also has a finger detection function and windowing function for different applications such as the fingerprint padlock, fingerprint wearable devices, and fingerprint access control. This fingerprint sensor chip is 100% made in Taiwan and the quality is super reliable.  We also support the algorithm with extra MCU 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