MU Vision Sensor 3: Image Recognition & Deep Learning Module - Cover Expand

MU Vision Sensor 3: Image Recognition & Deep Learning Module

DFRobot DFRobot



The MU Vision Sensor is the perfect entry to AI Robotics, with onboard processing & a range of pre-learned tasks to give you a quick & easy headstart.

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Building robots is quite an incredible hobby, as it seems to consistently bring new surprises, new developments and new opportunities for broadening knowledge and skills – all while working towards the ultimate goal of having a real-life robot army. However, while we love all robots equally, we have to admit that some robots are simply a little bit dumb, and when presented with unique situations that they haven’t been programmed for, they tend to fail, and sometimes this happens in spectacular ways.

This is why we get excited when we bring in fun new Robotics accessories like this MU Vision Sensor 3, which is an Image Recognition & Deep Learning Camera Module from a relatively unknown (but certainly passionate) brand named Morpx. It is built to make AI Robotics as easy and fun as possible, featuring support for Arduino IDE, MicroPython, and even MicroBit visual programming, ensuring that Makers of all ages can get involved and start learning about AI, Electronics and robotics. This makes it one of the coolest modules we stock, since we’re passionate about helping Makers develop skills and capabilities, and a module that can help both Little Future-Makers as well as grown up Fully-Fledged Makers develop their skills is definitely something that we want to stock more of!

In terms of functionality, this module is quite complex, and to really dig in deep, we recommend taking a look through the DFRobot MU Vision Sensor Wiki, as well as the extensive Morpx Mu Vision Sensor Documentation to find out more precise details. However, for now we just want to tell you about the awesome features that we love most, and which differentiate this MU Vision Sensor from other AI Camera modules like the M5Stick-V Camera.

The MU Vision Sensor 3 is built with both an Omnivision OV7725 camera as well as an Infrared distance sensor situated directly above it. This is clever, as these two components together give the camera both image recognition as well as depth perception capabilities. Additionally, this module also features a handy multi-interface connection style, and can be operated via I2C or UART, as well as WiFi for advanced users who know what they’re doing. This is all powered by a convenient 3.3V to 5V DC input range, making it suitable for a good number of microcontrollers like Arduino Boards, with an extremely small form factor that makes it ideal for integrating onto the front of a robot like a face, within a discrete enclosure to create “Smart Tools”, or even tucked away to the side of a computer display to add unique and novel ways to interact with your workstation or gaming PC.

These really cool features are then complemented by the powerful onboard 240MHz Dual Core ESP32-WROOM-32 Module for onboard processing and WiFi Connectivity, two onboard RGB LED’s for easy interfacing, and multi-address capabilities to accommodate multiple camera modules. And to top it all off, and to make your life easier as you learn, this module has been equipped with Pre-Learned tasks and reaction cards, so you don’t have to learn all of the extremely complex stuff first, but can instead dive straight into the fun part.


MU Vision Sensor 3 Module  -  Technical Specifications:

  • Onboard CPU                                               

– ESP-32 Dual Core 240MHz

  • Integrated Camera Module

– OmniVision OV7725

  • IR Sensing Support

– Distance | Motion | Gestures

  • Camera Resolution

– 640x480

  • Camera Field of View

– 84°

  • Camera FPS

– 60fps

  • Interfacing Support (Basic)

– I2C | UART

  • Interfacing Support (Advanced)

– WiFi Data | WiFi Image

  • Development Environment Support

– Arduino IDE

– Makecode

– MicroPython

– Mixly

– Mind+

– mPython X

  • Pre-Learned Detection Functions

– Human Recognition: Upper-Body Silhouette

– Ball Detection: Orange Ping Pong Ball / Green Tennis Ball

– Card Recognition: 20 Total Cards

– Colour Recognition: RGB Information

– Colour Block Detection: Width / Length / Position

  • Operating Voltage

– 3.3V to 5V DC

  • Onboard Toggles (Left)

– Data Output Mode

  • Onboard Toggles (Right)

– Address Selection

  • Onboard Indicators

– 2 x RGB LED’s

  • Onboard Buttons

– Function | Reset

  • Dimensions

– 32 x 33mm


Additional Resources:

  • As Mentioned above, if you really want to dive deep into the complexities and intricacies of this awesome module, take some time to browse through this extensive Morpx Mu Vision Sensor Documentation.
  • Additionally, for a great summary of this module, as well as useful resources like connection diagrams, example code and links to handy software, be sure to check out the DFRobot MU Vision Sensor Wiki Page.
  • Finally, for some handy resources like the Advanced User Guide, Firmware for the Camera Module, as well as IDE Libraries to use, make sure to visit the MU Vision Sensor 3 Support Page.


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As self-proclaimed “Robo-holics”, DFRobot is a company comprised of over 100 staff members, of which 30% are engineers who love to build robots. It was started in 2008 with the goal of embracing and promoting open-source hardware, with a core focus on Arduino, Raspberry Pi and their very own LattePanda development boards. Since then, DFRobot have manufactured over 1300 unique modules, sensors and components that all work together and complement each other, allowing users like us to enjoy a full spectrum of cutting edge robotics and electronics without having to pay premium prices.

With the primary goal of developing and manufacturing great quality products, while making them accessible to as many people as possible, DFRobot are rapidly becoming one of the most common-place brands in the world of open-source robotics and electronics. With more than 1300 products developed in-house, and an impressive range of different categories and specialisations, there are few brands in the world who can compete in terms of quality, accessibility and genuine innovation.