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Arduino Color Sensor

Los 10 mejores productos de julio de 2025
Última actualización: 11 de julio de 2025
CQRobot
CQRobot
CQRobot TCS34725FN Color Sensor Compatible with Raspberry Pi/Arduino/STM32. ADC, I2C Interface, Output RGB Data/Light Intensity Table. for Light Test, Phones, Computers, Industries, Lighting.
Envío gratis
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Amazon.es
#8

  • TCS34725FN is a low-cost, cost-effective RGB full-color color recognition sensor. The sensor recognizes the surface color of an object through optical sensing. It supports the three primary colors of red, green, and blue (RGB), supports bright light sensing, and can output the corresponding specific values to help you restore the true colors, and includes an IR blocking filter making it an ideal color sensing solution for use under varied lighting conditions.
  • CQRobot RGB Color SensorOnboard TCS34725FN, embedded ADC, high sensitivity, wide dynamic range. I2C communication, uses a few pins. Integrates IR blocking filter, minimizes the IR spectral component of the incoming light.
  • Outputs RGB data without white balance. Outputs light intensity, feels the light like human eyes. Supports light intensity interrupt output, programmable upper and lower thresholds. Supports fill-light by onboard LED, adjustable brightness by PWM.
  • Onboard voltage level translator, compatible with 3.3V/5V operating voltage. Compatible with motherboards such as Raspberry Pi/Arduino/STM32.
  • for Medical Health, Fluid and Gas Analysis, Color Temperature Measurement, Backlight Control for RGB LED, Product Color Verification and Classification, Ambient Light Sensing for TVS, Cell Phones, Tablets, Printer, Computers and Monitors, etc.
  • 14,99 € EN AMAZON
Yahboom
Yahboom
Yahboom K210 AI Smart Camera Vision Sensor Module for Arduino Raspberry Pi BBC V2,Open Source Code,Face,QR,Object,Color,Road Sign Recognition
Envío gratis
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72

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VER EN AMAZON
Amazon.es
#9

  • 1Tops computing power, efficient image processing capabilities: The K210 vision module is equipped with an efficient AI chip, a 2 million pixel OV2640 camera, and a built-in 2.0-inch LCD capacitive touch screen. It can process image data at a very fast speed while consuming low power, supporting various application scenarios such as face feature recognition, barcode recognition, object detection, color recognition, and visual line tracking.
  • Simplified AI vision development learning: The Smart Vision Sensor uses MicroPython programming, with CanMV as the development environment. According to Yahboom's tutorials, users can skip the complex process of deploying visual algorithms and only need to record 5 images to complete autonomous model training, lowering the learning and use threshold of AI technology.
  • Multi-controller compatibility: The K210 vision recognition module is equipped with a serial interface and can be used with various controllers such as STM32, Raspberry Pi Pico, Ard-uino, BBC-V2, MSPM0, etc. Users can easily output visual recognition results to an external controller through the serial port, without the need to delve into complex visual algorithms, making it easy to create creative AI projects.Identify multiple colors simultaneously
  • Open source code: The program source code of the Smart AI Lens Kit is completely open source, not a closed-source product that can only be used without further development. This enables users to more easily develop and customize their own visual application programs. In addition to powerful AI recognition functions, we also provide rich development materials to facilitate users to learn and develop their own AI projects.
  • Diverse application scenarios: The compact K210 vision module can be widely used in electronic competitions, efficient experimental teaching, robot extensions or personal DIY projects, and even widely used in various fields such as smart homes, industrial automation, etc., providing users with more possibilities and innovation space.
  • 49,00 € EN AMAZON