- Right hand and left hand versions are available; this is the left hand version
- Powered by Raspberry Pi 5 and support Python programming
- Work with OpenCV to realize AI vision recognition and tracking
- Open-source code and detailed tutorials are provided
Powered by Raspberry Pi, uHandPi is an AI smart vision robotic hand. Loaded with HD camera, it can realize color recognition, face detection and other functions through OpenCV. Apart from image processing, uHandPi can carry out machine learning, and train various models with the help of Tensorflow+Keras. For better using experience, uHandPi is equipped with mobile APP!
1) Color Sorting
uHandPi utilizes OpenCV to perform color space conversion, threshold segmentation ect. And extract the color to be recognized, and then conduct color sorting.
2) Color Tracking
uHandPi collaborates with OpenCV to convert color space, segment threshold etc., so as to get the coordinate of the target color. Then use PID for mobile tracking.
3) Face Detection
uHandPi is based on histogram of orientation gradient to realize face detection. Besides, it also adopts bilinear interpolation, SVM classification and other strategies.
4) Real-time Camera Image
On mobile APP and VNC remote desktop, you can view the real-time image transmitted by uHandPi's camera synchronizing your eyes with uHandPi's eye.
5) Rock! Scissor! Paper!
uHandPi implements gesture classification based on deep learning. Gesture classification can be achieved through image acquisition, labeling, and training.
6) Various Control Methods
uHandPi support PC software, VNC remote control desktop and mobile APP control and you can experience uHandPi in different ways!
7) Open-source Python Code
uHandPi implements gesture classification based on deep learning. Gesture classification can be achieved through image acquisition, labeling, and training.
8) Anti-blocking Servo
With Built-in blocking protection algorithm, the servo will not burn out due to blocking and collision, which greatly prolongs its service life.
