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Optical Fingerprint Reader Sensor Module Door Lock Access Control Red Light for Arduino Mega2560 UNO R3
Secure your project with biometrics with the Geekstory Optical Fingerprint Reader Sensor Module.
Optical Fingerprint Reader Sensor Module Door Lock Access Control Red Light for Arduino Mega2560 UNO R3
Item #: 10376360

Optical Fingerprint Reader Sensor Module Door Lock Access Control Red Light for Arduino Mega2560 UNO R3

Item #: 10376360

TMT 102

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Secure your project with biometrics with the Geekstory Optical Fingerprint Reader Sensor Module.
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What Stands Out

Fingerprint Recognition
Utilizes advanced biometric technology for fast and accurate fingerprint scanning, ensuring secure access control tailored for Arduino projects.
Easy Integration
Designed for seamless compatibility with Arduino Mega2560 and UNO R3, allowing hobbyists to effortlessly incorporate into various DIY security applications.
Red Light Indicator
Features a clear red light activation to provide visual feedback during the scanning process, enhancing user experience and operational clarity.

Product Details

Discover the high-quality Geekstory Optical Fingerprint Reader Sensor Module for Arduino at Ubuy Turkmenistan. Secure your doors with this red light access control for Arduino Mega2560 UNO R3.
Specific Uses For ProductAccess Control, Financial Security, Identity Verification, Fingerprint Payment
Personal Computer Design TypeBarebone
ColorRed
Additional FeaturesFngerprint Reader Module
Hard Disk Description240 GB SSD
Hardware InterfaceSerial Interface
Video Output InterfaceUART
Style NameMinimalist
Biometric Security FeatureFingerprint Recognition
Cooling MethodWater
Compatible DevicesArduino, 51, AVR, STM32, PIC, ARM, MSP430
Power Plug TypeNo Plug
Security FeaturesFingerprint Recognition
Memory Storage Capacity240 GB
RAM Memory TechnologyDDR DRAM
RAM TypeDDR DRAM
Memory Slots Available1
Processor Count1
Display Resolution Maximum1024x768
Display TypeLCD
Aspect Ratio16:9
Resolution1024 x 768
Native Resolution1024x768
BrandGeekstory
Model NumberGR2904
Model NameGR2904
Built-In MediaCable, Optical Fingerprint Reader Sensor
Processor BrandARM
Model Year2022
CPU Model NumberGR2904
Video Processorarm
Unit Count1 Count
UPC702795764432
ManufacturerGeekstory
Graphics DescriptionIntegrated
Graphics CoprocessorZintegrowana karta graficzna
Graphics Ram TypeDDR DRAM
Graphics Card InterfaceIntegrated
Connectivity TechnologySerial
Human-Interface InputTouchscreen with Stylus Support
Keyboard DescriptionStandard Layout Keyboard
Keyboard LayoutQWERTY
Graphics Card DescriptionIntegrated
Personal computer design typeBarebone
Included ComponentsCable, Optical Fingerprint Reader Sensor
Special FeatureFngerprint Reader Module
Item Weight0.25 lbs (110 grams)

Who Should Buy?

Suitable For
  • DIY Enthusiasts

    Ideal for hobbyists looking to integrate fingerprint access control into their Arduino projects effectively.

  • Security Projects

    Great for security-related projects that require a reliable authentication method for access control.

  • Educational Use

    Perfect for students learning about biometrics and electronics, providing practical hands-on experience with technology.

Not Suitable For
  • Large Enterprises

    Not suitable for large organizations needing complex security systems, as it lacks advanced features.

Product Description

Optical Fingerprint Reader Sensor Module Door Lock Access Control Red Light for Arduino Mega2560 UNO R3

Have any Query? Chat with us

Customer Questions & Answers

  • Question: What is the Optical Fingerprint Reader Sensor Module?

    Answer: The Optical Fingerprint Reader Sensor Module is a biometric device designed for secure access control. It utilizes advanced optical technology to capture and identify fingerprints, making it ideal for applications like door locks, security systems, and automation projects. The module connects seamlessly with Arduino boards, such as the Mega2560 and UNO R3, enabling integration into various electronic projects. This sensor is particularly useful in scenarios where security and user identification are crucial, such as in residential or commercial buildings.
  • Question: How do I connect the Optical Fingerprint Reader to my Arduino?

    Answer: To connect the Optical Fingerprint Reader to your Arduino, start by wiring the sensor's pins to the corresponding pins on the Arduino board. Typically, you'll use digital pins for data communication and power pins for supplying voltage. After connecting, install the appropriate libraries in the Arduino IDE to facilitate communication. This enables you to upload code that can read and process fingerprint data, allowing for secure access control solutions in DIY projects like smart door locks or security systems.
  • Question: What programming languages can I use with the Optical Fingerprint Reader?

    Answer: The Optical Fingerprint Reader is primarily designed to be used with C/C++ within the Arduino IDE. This allows you to manipulate the hardware efficiently and access the libraries that come with the sensor. Additionally, you can connect it with other platforms such as Raspberry Pi, which supports Python, or other programming languages through relevant libraries. This versatility makes it suitable for various project environments where coding customization is essential.
  • Question: Can I use the Optical Fingerprint Reader in outdoor conditions?

    Answer: While the Optical Fingerprint Reader Sensor Module can function in various environments, it is typically designed for indoor use. Outdoor conditions may expose the sensor to moisture, direct sunlight, or dust, which can interfere with its performance. If you need to deploy it in outdoor settings, consider using a protective housing to shield it from elements while ensuring optimal functionality. This can enhance its reliability for projects like outdoor security gates or access control systems.
  • Question: What is the range of fingerprint recognition for this sensor?

    Answer: The Optical Fingerprint Reader offers reliable recognition within a relatively short distance, usually a few centimeters away, due to its optical imaging mechanism. For optimal results, users should place their finger directly over the sensor, as it relies on light reflection to capture fingerprint details. This precision makes it effective for individual access points, ensuring that only authorized users can gain entry, which is essential for security systems in both residential and commercial applications.
  • Question: Is it compatible with other Arduino boards apart from Mega2560 and UNO R3?

    Answer: Yes, the Optical Fingerprint Reader Sensor Module is compatible with several Arduino boards, including models like Arduino Nano and Arduino Due. However, it is essential to verify the pin configuration and ensure you have the right libraries installed. This flexibility allows hobbyists and developers to integrate the sensor into a wide variety of Arduino-based projects, whether it’s a compact device using Nano or a more robust one using Mega2560.
  • Question: What additional components will I need to use this sensor effectively?

    Answer: To use the Optical Fingerprint Reader effectively, you'll need an Arduino board, Jumper wires for connectivity, and possibly a breadboard for prototyping. Depending on your project, you might also consider using relays or transistors for controlling locks or sirens, ensuring that the fingerprint recognition triggers the appropriate actions. This setup facilitates comprehensive projects, from simple access controls to complex security systems.
  • Question: How does the finger enrollment process work?

    Answer: The finger enrollment process consists of capturing and storing fingerprint data for authorized users. To enroll a fingerprint, simply connect the sensor to your Arduino, upload an enrollment sketch, and follow the prompts. The sensor captures the fingerprint image, converts it into a template, and saves it in its memory. This process ensures only registered fingerprints can unlock the system, enhancing security for applications such as smart locks or access-controlled environments.
  • Question: What are the common issues faced when using the Optical Fingerprint Reader?

    Answer: Common issues with the Optical Fingerprint Reader include difficulty in capturing images due to dirt or damage on the sensor surface, slow recognition speed, and false rejections due to improper finger placement. To mitigate these issues, ensure the sensor is clean and positioned correctly during use. Regular maintenance and proper user instructions can significantly enhance performance, making the device suitable for projects requiring reliable access control solutions.
  • Question: Where can I buy the Optical Fingerprint Reader Sensor Module in Turkmenistan?

    Answer: You can purchase the Optical Fingerprint Reader Sensor Module Door Lock Access Control Red Light for Arduino Mega2560 UNO R3 from Ubuy. They offer an extensive range of electronics and accessories, ensuring you have access to quality products for your projects. Ubuy provides options for various versions of the module which can be conveniently selected to suit your specific needs.

Geekstory Surveillance Cameras GR2904 Editorial Review

The Geekstory Optical Fingerprint Reader Sensor Module is a door lock access control module designed for use with Arduino Mega2560 UNO R3. The module is compatible with various microcontrollers and can even work with a Raspberry Pi 3. It has a function to extract fingerprint images but requires uploading Arduino code. The LED only turns on when a fingerprint is placed on the scan area. However, some customers have reported that the product came without any instructions or documentation, making it difficult to use. Additionally, a few customers experienced faulty or broken devices. On the positive side, the seller maintains good communication with clients.

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Pros

  • Compatible with Arduino Mega2560 UNO R3 and various microcontrollers
  • Can work with Raspberry Pi 3
  • Has a function to extract fingerprint images
  • Seller maintains good communication with clients

Cons

  • No instructions or documentation provided

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