HLK-ZW111 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, supports low-power finger detection, eliminates the need for external finger touch detection chip, high integration, simple product structure, and improves the stability and consistency of the product. At the same time to provide seven-colour light effect, can be customized according to user requirements of different colors and 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.