Arduino UNO R3 Original
Pixy CMUcam5 Sensor
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MU Vision Sensor 3(MU 3) is an intelligent vision sensor that can recognize many kinds of objects with deep-learning algorithm inside. For example, it can detect color blocks, tennis balls, human body and cards. The MU vision sensor supports UART, I2C, and WIFI communication modes.It is suitable for Arduino and micro:bit embedded platforms, and supports Mind+ graphical programming.
To know more about this product, please check the DFRobot Wiki or the manufacturer's documents.
If you have any questions on this product please feel free to contact us.
*Disclaimer: The images are merely illustrative.
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 I2C. 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, I2C, 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.
Other Parts: Tracked Robot Chassis, Arduino Uno, Motor Driver Shield, 18650 Li-ion Battery - (From PowerBank )
Processor: dual-core, 240MHz
Camera: Omnivision ov7725
Camera Resolution: 640x480
Field of View: 90° (Diagonal line)
2 LED lights
Dimension: 3.2*3.2*1.2cm/1.26*1.26*0.47”
Data Output: UART/I2C
Power Supply: 5V
Detected Objects:
People silhouette (above the waist)
Ball (Ping-pong ball or tennis ball)
20 Customized Cards
20 Customized Cards
Color (Within the detection range, output the color of the designated position or output the position of the designated color)
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 sensing)
Face recognition
QR code recognition
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