Optical Sensor Development Tools MU Vision Sensor

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Open the intelligence era, starting with visual recognition! Here comes an image recognition sensor with built-in deep learning engine. Small in size, the sensor adopts 30W wide-angle lens and various vision algorithms, which could make your robots more intelligent and independent. With this MU vision sensor, you can build up a smart robot that can trigger suitable behaviors to deal with random events in environment.

Use this MU vision sensor to recognize and locate a variety of objects, such as colors, balls, humans and cards. The detected result can be output through UART and IIC. It can process information locally without a network connection. In addition, the parameter configuration and firmware update of the module can be directly realized via the on-board USB serial port. The sensor supports UART, IIC, and WIFI communication modes. What’s more, it is suitable for Arduino, Mixly and micro:bit embedded platforms, so you are always welcomed to explore the powerful capability of this sensor regardless of the development platforms.

This small MU vision sensor can help you to complete intelligent applications, for instance, smart printing and scanning car robot, basketball shooting robot, and so on. Moreover, it can be widely used in smart toys, AI teaching tool, maker products, etc.

  • Processor: dual-core, 240MHz
  • Camera: Omnivision ov7725
  • Camera Resolution: 640x480
  • Field of View: 90° (Diagonal line)
  • 2 LED lights
  • Dimension:”
  • Data Output: UART/IIC
  • Power Supply: 5V
  • Detected Objects:

    • people silhouette (above the waist)
    • Ball (Ping-pong ball or tennis ball)
    • 20 Customized Cards
    • Color (Within the detection range, output the color of the designated position or output the position of the designated color)
  • Software Library: milxy’s library functions and reference programs

    • Arduino library functions
    • Micro:bit library functions
  • Functions In Development: WiFi Image Transmission (module as AP)

    • Motion Routine Detection(detection of hand movement from top to bottom, left to right, etc,. non-gesture * Face recognition
    • QR code recognition


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