R307 Optical Fingerprint Sensor Module
The R307 Optical Fingerprint Reader makes fingerprint scanning straightforward. It connects easily to microcontrollers or PCs using a TTL UART interface or through a MAX232/USB-Serial adapter. You can store fingerprints on the device and set it to recognize individuals in different ways.
This fingerprint sensor module includes an optical sensor, a fast processor, and smart algorithms for capturing and matching fingerprints. It works with 3.3V or 5V microcontrollers and is great for projects like access control systems, attendance tracking, or secure locks. It’s small, uses little power, and captures clear fingerprint images with a resolution of up to 500 dpi.
check out: FM220U Finger Print Scanner
Features
- All-in-one design integrating image capture and algorithm processing chip.
- Supports secondary development and easy integration into various end-use products.
- Compact, cost-effective, and energy-efficient with reliable performance.
- Utilizes advanced optical technology and precision manufacturing for high-quality output.
- Capable of capturing high-resolution images up to 500 dpi with strong image processing performance.
R307 Optical Fingerprint Sensor Module Pinout:
Also, check out: Mantra MFS-100 Biometric Finger Print C-Type Scanner
Applications
- Secure access control for doors, cabinets, and lockers.
- Attendance systems for schools, offices, and events.
- Embedded security in IoT devices and smart home systems.
- Biometric authentication for microcontroller projects (Arduino, ESP32).
- User recognition for robotics and interactive installations.
- Time-logging and user-tracking in small business workflows.
- Safe storage solutions (e.g., safes, toolboxes) with biometric keyless entry.
1. How does R307 work?
The R307 fingerprint module has a TTL UART interface for direct connection to a microcontroller UART or a PC via a MAX232 / USB-Serial adapter. The user can store the fingerprint data in the module and can configure it in 1:1 or 1:N mode for identifying the person.
2. Where is the fingerprint sensor module commonly used?
The fingerprint sensor module is used as a way to verify identity. It is widely applied to computers, mobile phones, electronic door locks, access control systems, security safes, etc.
3. What is the output of fingerprint scanner?
The output of fingerprint sensors is a 2D gray-scale image of a fingerprint, which is then ready for analysis. The image is stored locally, preferably in a secure area of the phone, and in an encrypted form.
4. Which interface does the R307 Optical Fingerprint Reader Sensor Module use?
The R307 Optical Fingerprint Reader Sensor Module is a fingerprint sensor with a TTL UART interface for direct connections to microcontroller UART or to PC through MAX232 / USB-Serial adapter. The user can store the fingerprint data in the module and can configure it in 1:1 or 1:N mode for identifying the person.
5. What voltage does it operate on?
The R307 sensor operates on a voltage range of 3.6V to 6V DC, making it compatible with most Arduino, Raspberry Pi, and other microcontroller development boards. Its low power requirement ensures stable performance for continuous biometric scanning applications.
6. What is its scanning speed and accuracy (dpi)?
The R307 Optical Fingerprint Sensor Module offers a fast scanning speed of 0.5 seconds per fingerprint. It has an accuracy of up to 500 dpi, ensuring reliable recognition and reducing false positives or negatives. This makes it suitable for access control, attendance systems, and other security-focused fingerprint applications.
7. Can this sensor store fingerprint templates internally?
Yes, the R307 sensor can store up to 1000 fingerprint templates internally in its onboard memory. This internal storage allows for standalone operation without relying on an external database, which is ideal for secure authentication systems and standalone biometric devices.
8. Which microcontrollers or boards is it compatible with?
The R307 Optical Fingerprint Sensor Module is compatible with a wide range of microcontrollers and development boards, including Arduino Uno, Arduino Mega, ESP32, and Raspberry Pi. Its flexible communication interface and standard library support make it easy to integrate into IoT security projects, attendance tracking systems, and DIY biometric projects.
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