HLK-ZW101 is an all-in-one semiconductor fingerprint processing module, which consists of an active semiconductor fingerprint capture SENSOR and a fingerprint identification processing chip. Fingerprint identification algorithm chip adopts high-performance, low-power riscv core, running 360-degree adaptive self-learning algorithm. Semiconductor Sensor adopts active RF acquisition method, supports low-power finger detection, eliminates the need for external finger touch detection chip, high integration, simple product structure, improves product stability and consistency. At the same time to provide seven-color light effect, can be customized according to user needs of different colors as well as display mode.

Feature:

• Capacitive Fingerprint Sensing: Utilizes capacitive sensing technology to capture detailed fingerprint images by detecting changes in capacitance when a finger is placed on the sensor.
• Low Power Consumption: Designed for low power operation, making it suitable for battery-powered applications like portable devices and access control systems.
• High Accuracy: Provides reliable and precise fingerprint recognition with a low false acceptance rate (FAR) and false rejection rate (FRR).
• Fast Fingerprint Recognition: Offers quick fingerprint matching and identification, typically within a fraction of a second.
• Compact and Easy Integration: Small form factor allows easy integration into various electronic systems, especially in embedded projects and access control solutions.

Application:

• Access Control Systems: Used in security systems for biometric authentication to control access to buildings, rooms, or sensitive areas.
• Time and Attendance Systems: Integrated into employee time-tracking systems to record clock-in/clock-out times based on fingerprint authentication.
• Mobile Devices: Used in smartphones and tablets for secure user authentication and app access.
• Smart Locks: Implemented in smart door locks for secure keyless entry systems based on fingerprint recognition.
• Banking and Financial Services: Used for secure financial transactions and user identification in ATMs and mobile banking apps.
• Personal Identity Verification: Applied in identity verification systems for government IDs, health records, or personalized services.
• Embedded Systems: Integrated into various embedded applications requiring biometric security, such as robotics or IoT devices.