Fingerprint Readers descriptions
We use high-quality raw materials, all materials are very suitable for the product, please rest assured to buy.
Fpc1020a- Capacitive Fingerprint Identification, Semiconductor Sensor Module.
Features: Fingerprint Identification Capacity: 150 Fingerprints, Identification Time is Less Than 1 Second, Can Be Customized Large Capacity.
Capacitive Surface Array Semiconductor Fingerprint Sensor.
Sensor Has 256 Grayscale Pixel Quality Per Pixel.
Fingerprint Data Registration and Comparison Under Minimum Storage Conditions: 200 Bytes of Fingerprint Template.
1:N Identification and 1:1 Verification.
Support Finger 360 Rotation Recognition.
Recognizing Passed Neural Network Self-learning Function.
Optimize the Wet Finger Collection Quality in Semiconductor Sensors.
Increase Intelligent Repair Processing of Incomplete Fingerprint Images.
Specifications: Sensor Resolution: 500 DPI Sensor Pixels: 160*160 Fingerprint Capacity: 150 Pieces (1000, 2000, 4000 Pieces Can Be Customized) Fingerprint Feature Extraction Time: < 0.45 Seconds 1:N Matching Time (1000 Full Registrations): < 0.45 Seconds Fake Rate: 0.0001% Refuse Rate: 0.001% Communication Interface: UART, USB Serial Communication Parameters: No Parity Parity = NONE, 1 Stop Bit Stop Bit = 1 No Flow Control: Flow Control = NONE Baud Rate: 9600, 19200, 38400, 57600, 115200 (bps) Factory Setting: 19200bps Dynamic Current: <50mA Standby Current: <25A (steady-state Standby Current) Operating Voltage: 3V or 5V Working Temperature: -10 °C - 60 °C Relative Humidity: 20% €â€?80% .
Products number : SOMONO81665
We use high-quality raw materials, all materials are very suitable for the product, please rest assured to buy.
Fpc1020a- Capacitive Fingerprint Identification, Semiconductor Sensor Module.
Features: Fingerprint Identification Capacity: 150 Fingerprints, Identification Time is Less Than 1 Second, Can Be Customized Large Capacity.
Capacitive Surface Array Semiconductor Fingerprint Sensor.
Sensor Has 256 Grayscale Pixel Quality Per Pixel.
Fingerprint Data Registration and Comparison Under Minimum Storage Conditions: 200 Bytes of Fingerprint Template.
1:N Identification and 1:1 Verification.
Support Finger 360 Rotation Recognition.
Recognizing Passed Neural Network Self-learning Function.
Optimize the Wet Finger Collection Quality in Semiconductor Sensors.
Increase Intelligent Repair Processing of Incomplete Fingerprint Images.
Specifications: Sensor Resolution: 500 DPI Sensor Pixels: 160*160 Fingerprint Capacity: 150 Pieces (1000, 2000, 4000 Pieces Can Be Customized) Fingerprint Feature Extraction Time: < 0.45 Seconds 1:N Matching Time (1000 Full Registrations): < 0.45 Seconds Fake Rate: 0.0001% Refuse Rate: 0.001% Communication Interface: UART, USB Serial Communication Parameters: No Parity Parity = NONE, 1 Stop Bit Stop Bit = 1 No Flow Control: Flow Control = NONE Baud Rate: 9600, 19200, 38400, 57600, 115200 (bps) Factory Setting: 19200bps Dynamic Current: <50mA Standby Current: <25A (steady-state Standby Current) Operating Voltage: 3V or 5V Working Temperature: -10 °C - 60 °C Relative Humidity: 20% €â€?80% .
Products number : SOMONO81665