R302 Capacitive 160*160 pixels USB/UART Fingerprint Sensor Module Scanner Access Control Module For Arduino Andriod. Net Linux

Introduction to R302 Capacitive Fingerprint Sensor Module

Overview of R302 Fingerprint Module

The GROW R302 Capacitive Fingerprint Sensor Module is a state-of-the-art device designed for seamless integration into various end products, including access control systems, attendance management solutions, and safety applications. This compact module features a USB/UART interface, allowing it to work seamlessly with platforms like Arduino, Android, Linux, and more. With its 160x160 pixel capacitive sensor, the R302 delivers high-resolution fingerprint images, enabling accurate identification and authentication.

Key Features of R302 Fingerprint Module

• Integrated image collection and algorithm chip
• High recognition rate for dry, wet, light texture fingerprints, and old fingers
• Flexible voltage requirements (DC 4.2-6.0V)
• Effective collection area: 8x8mm
• Fingerprint capacity: 120
• Resolution: 508 DPI
• Sensing array: 160x160 pixel

Setting Up R302 Fingerprint Module

Connecting R302 to Arduino, Android, Linux

To integrate the R302 fingerprint module into your project, simply connect it to your chosen platform via USB or UART. Follow the respective documentation for each platform to ensure proper communication between the sensor and your device.

Power Supply & Voltage Requirements

The R302 fingerprint module operates at voltages ranging from 4.2V to 6.0V DC. To maintain optimal performance, ensure that your power supply meets these voltage requirements. Additionally, a 3.3VDC power source may be selected if needed.

Using R302 Fingerprint Module

Integrating Image Collection & Algorithm Chip

The R302 fingerprint module combines both image collection and algorithm processing capabilities, streamlining the integration process and reducing the need for external hardware. This all-in-one design simplifies implementation and ensures efficient operation.

High Recognition Rate for Various Finger Conditions

One of the standout features of the R302 fingerprint module is its ability to recognize fingerprints under various conditions, including dry, wet, light texture fingerprints, and even old fingers. This flexibility makes the R302 an ideal choice for applications where consistent performance is crucial.

Main Application Areas: Access Control, Attendance, Safety

The R302 fingerprint module can be embedded into a wide range of end products, including access control systems, attendance management solutions, and safety applications. Its versatility and high recognition rate make it a valuable addition to any project requiring reliable biometric authentication.

Downloading R302 User Manual & SDK Files

Downloading R302 User Manual

For detailed information about the R302 fingerprint module, download the user manual from the following website: [Insert Link Here]

Contacting Us for SDK Files

If you require SDK files for your project, please feel free to contact us at [Insert Contact Information Here]

Conclusion

In summary, the GROW R302 Capacitive Fingerprint Sensor Module offers a robust solution for biometric authentication in various applications, including access control, attendance management, and safety systems. Its compact design, high recognition rate, and flexible integration options make it an excellent choice for developers looking to implement reliable fingerprint authentication in their projects.