The ZW0623 is an advanced, all-in-one semiconductor fingerprint processing module that integrates both the active semiconductor fingerprint capture SENSOR and the fingerprint identification processing chip. It uses a high-performance, low-power Riscv core to run a 360-degree adaptive self-learning algorithm for optimal identification. The semiconductor sensor employs active RF acquisition, supports low-power finger detection, and eliminates the need for an external finger touch detection chip, resulting in high integration and a simpler product structure. This improves the overall stability and consistency of the product.

Consumers use fingerprint recognition modules for user identity determination. When a user touches the fingerprint recognition module with a finger, the fingerprint recognition module scans the user’s fingerprint. The algorithm chip then obtains the fingerprint image data for registration and comparison.

Additionally, the ZW0623 provides a seven-color light effect, which can be customized according to user preferences for different colors and display modes. This combination of features makes the ZW0623 an ideal solution for high-performance, reliable, and energy-efficient fingerprint recognition.

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.