MU Camera
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MU Vision Sensor is an intelligent vision sensor that can recognize many kinds of objects with a deep-learning algorithm inside. For example, it can detect color blocks, balls, the human body, and cards. Its detect result can be transmitted through UART or I2C interface. MU is compact, has low power consumption, processes all algorithms locally, and can be widely used in intelligent toys, AI+STEAM lessons, creators, and other products or fields.
2. Use the latest OpenCat code to finish the setup.
If you have already uploaded the latest OpenCat code to make Bittle walk, you only need to uncomment the #define CAMERA at the beginning of OpenCat.ino then upload the code.
After uploading the firmware, switching the dial switches on the MU Vision Sensor and connecting to the NyBoard with wire as shown in the following picture:
Fix the end connected to the camera to the robot's head (included in Bittle's mouth).
The demo video is as follows:
You can use the within the Petoi Desktop App to finish the configuration.
You can also use for the most freedom to upload and modify the codes.
First, download and install the into your Arduino IDE.
If you are not sure, you need to finish the to ensure everything is configured correctly, then upload the code in the camera mode.
If the camera code is uploaded correctly, Bittle maintains a squat position basically, you can see success messages printed on the of Arduino IDE. When the MU Vision Sensor recognizes a target, the two LEDs will turn blue, and Bittle's head can follow the target and swing left and right. The demo code will auto-switch the target between a yellow tennis ball and a human body if it fails to find any object.
For more details, please refer to .
