1.Easy to use, no need to understand the fingerprint algorithm and internal structure, just simple commands to complete the corresponding operations. 2.Built-in commercial algorithm supports fingerprint entry, fingerprint comparison, fingerprint image extraction and fingerprint eigenvalue uploading, with stable performance and fast recognition speed. 3.Capacitive fingerprint identification, sensitive sensing, fingers can be quickly recognized by gently touching the collection window. 4.High hardware integration, the main control and fingerprint sensor are integrated into one unit, which is convenient to be embedded into small volume applications. 5.Built-in human body sensing device, with power-down sleep and touch wake-up function, lower power consumption.On-board UART interface for easy access to STM32 and Raspberry Pi hardware platforms. Specifications: Sensor:capacitive touch sensor Resolution:508 DPI Image pixels:160x160 Image greyscale:8 Sensor dimension:11.2 x 12.2 mm Fingerprint capacity:3000 Matching time:Less than 200ms (1:N, and N≤100) False acceptance rate:Less than 0.001% False rejection rate:Less than 0.1% Operating voltage:3.3V Operating current:Less than 50mA Sleep current:Less than 16uA ESD:contact discharge 8KV / aerial discharge 15KV Communication port:UART Baudrate:19200 bps Operating environment:Temperature: -20°C~70°C; Humidity: 40%RH~85%RH (no condensation) Storage environment:Temperature: -40°C~85°C; Humidity: Less than 85%RH (no condensation) Material: Plastic Color: As shown Due to different batches, there may be differences in product appearance, color, and printed text, which will not affect the use. Package Contents: 1 x UART Fingerprint Sensor (E) 1x 6-Pin Dupont Cable Only the above package content, other products are not included. Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.