Hiwonder
Hiwonder uHandPi Raspberry Pi Robotic Hand AI Vision Python Programming
Product SKU: HW2019299
- Powered by Raspberry Pi 4B and support Python programming
- Work with OpenCV to realize AI vision recognition and tracking
- Right hand and left hand are available
- Open-source code and detailed tutorials are provided
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Product Description
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!
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!
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 Sorting
uHandPi utilizes OpenCV to perform color space conversion, threshold segmentation ect. And extract the color to be recognized, and then conduct color sorting.
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.
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.
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.
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.
Real-time Camera Image
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.
Rock! Scissor! Paper!
uHandPi implements gesture classification based on deep learning. Gesture classification can be achieved through image acquisition, labeling, and training.
Various Control Methods
uHandPi support PC software, VNC remote control desktop and mobile APP control and you can experience uHandPi in different ways!
Open-source Python Code
uHandPi implements gesture classification based on deep learning. Gesture classification can be achieved through image acquisition, labeling, and training.
Anti-blocking Servo
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.
Powerful Control System
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
Raspberry Pi 4B VS Raspberry Pi CM4
Raspberry Pi 4B VS Raspberry Pi CM4
Product Parameter
Packing List
1* uHandPi (left or right)
1* Raspberry Pi CM4 4GB/ Raspberry Pi 4B 4GB/ Raspberry Pi 4B 8GB
1* Raspberry Pi expansion board
1* Raspberry Pi CM4 4GB/ Raspberry Pi 4B 4GB/ Raspberry Pi 4B 8GB
1* Raspberry Pi expansion board
1* 6V 5A power adapter
1* Screwdriver
1* Base
2* Ball
1* Card reader
1* Screwdriver
1* Base
2* Ball
1* Card reader
| Item | Specification |
| Dimension | 205* 120*293mm |
| Weight | about 0.56kg |
| Material | metal and acrylic |
| Camera resolution | 480P |
| Pan-tilt angle | 180 degree |
| Adaptor | 6V 5A adaptor |
| Hardware | Raspberry Pi 4B and Raspberry Pi expansion board |
| Software | visual PC software + mobile APP |
| LFD-01 servo size | 32.5*12*29.85mm |
| LFD-01 servo stall torque | 1 .8kg.cm 6V |
| LFD-06 servo size | 40*20*40.5mm, |
| LFD-06 servo stall torque | 6 kg.cm 6.6V |
| Control method | PC / mobile APP control |
| Package size | 310*260*160mm |
| Package Weight | about 1.5kg |
| Packing List |
1* uHandPi (left or right) |
Customer Reviews
Based on 3 reviews
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j
It was my first time to get to know Raspberry Pi with uHandPi. The modular design encourages exploration and experimentation, making it an ideal platform for both beginners and seasoned enthusiasts. If you're also a beginner, it can be the one.
S
This Bionic robotic hand is used to teach in my class. Powered by Raspberry Pi, it is able to conduct secondary development. Applying uHandPi in different scenarios is really funny with my students and they kept coming up with different ideas to program this hand to unveil more mysterious functions.
V
Please note that there are left and right hands available and you can choose which hand you want. It becomes smarted with its “eyes” to carry out AI vision games.
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