Powered by Raspberry Pi 4B, 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!
Color SortinguHandPi utilizes OpenCV to perform color space conversion, threshold segmentation ect. And extract the color to be recognized, and then conduct color sorting. |
Color TrackinguHandPi 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. |
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Face DetectionuHandPi is based on histogram of orientation gradient to realize face detection. Besides, it also adopts bilinear interpolation, SVM classification and other strategies. |
Real-time Camera ImageOn 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. |
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Rock! Scissor! Paper!uHandPi implements gesture classification based on deep learning. Gesture classification can be achieved through image acquisition, labeling, and training. |
Various Control MethodsuHandPi support PC software, VNC remote control desktop and mobile APP control and you can experience uHandPi in different ways! |
Open-source Python CodeuHandPi implements gesture classification based on deep learning. Gesture classification can be achieved through image acquisition, labeling, and training. |
Anti-blocking ServoWith Built-in blocking protection algorithm, the servo will not burn out due to blocking and collision, which greatly prolongs its service life. |
Powerful Control System
- 8-channel PWM servo interface with overcurrent protection
- Built-in bus serial circuit for directly controlling serial bus servo
- 2-channel programmable LEDs for displaying system status
- 2-channel programmable buttons, more convenient configuration system
- Reserve IIC and UART interface for sensor expansion
Product Parameter
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Packing List
1* Raspberry Pi CM4 4GB/ Raspberry Pi 4B 4GB/ Raspberry Pi 4B 8GB
1* Raspberry Pi expansion board
1* Screwdriver
1* Base
2* Ball
1* Card reader
