+86-10-88861612/13/15/17
Capacitive Fingerprint Identification Module ID1017 is a dedicated 32-bit Cortex-M4 core processor with a CPU main frequency of 150MHz, running the new IDFingerV6.0 fingerprint identification algorithm, with fast comparison speed and high accuracy rate, the algorithm supports intelligent self-learning and supports 360° rotating acquisition comparison, strong adaptability to dry and wet fingers, good adaptability to different types of fingers.
Features
Capacitive fingerprint recognition, sensitive sensing, finger just gently touch the collection window can be quickly identified
High hardware integration, master control and fingerprint sensor integration, can be easily embedded in a variety of small applications
The fingerprint sensor has a large contact area and supports intelligent self-learning and 360-degree rotation recognition
With touch wake-up function, lower power consumption
Adopt standard UART communication, provide complete SDK development kit, secondary development is simple
Specifications
Model: ID1017
Sensor type: Semiconductor capacitive
Acquisition window size: 12.8mm x 12.8mm
Effective image size: 8 mm x 8mm
Image resolution: 508 dpi
Image size: 160x160 pixels
Fingerprint recognition time: Less than0.1 sec (1:1), Less than0.5 sec (1:N ,80 fingerprints)
Fingerprint user capacity: 80/200
Fingerprint registration time: Less than 3 seconds
Fingerprint matching method: 1:1 / 1:N
Rejection Rate (FRR): Less than2%
False recognition rate (FAR): Less than0.001%
Communication interface: UART
Support system: Windows; Android; Embedded
Operating voltage: DC 3.3
Operating current: Less than 40 mA
Operating temperature: -10°C to 65°C
Operating humidity: 20-93% R.H
Operating humidity: Less than 90% R.H (non-condensing)
Storage humidity: 20 to 93% R.H
Applications
The Capacitive Fingerprint Identification Module ID1017 is widely used in fingerprint locks, fingerprint time and attendance access control, intelligent terminals, self-service equipment and other hardware terminals that require fingerprints as authentication.