Hiwonder uHandPi Raspberry Pi Robotic Hand AI Vision Python Programming
Rated 3.5/5 based on 11 customer reviews
Hiwonder uHandPi Raspberry Pi Robotic Hand AI Vision Python Programming

Hiwonder uHandPi Raspberry Pi Robotic Hand AI Vision Python Programming

  • Powered by Raspberry Pi 4B 4GB 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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  • Order within
Available: In Stock
$329.99
Left hand
Right hand
Product Description
Powered by Raspberry Pi 4B 4GB, 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 4GB, 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 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
  • 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
Packing List
1* uHandPi (left or right)
1* Raspberry Pi 4B 4GB
1* Raspberry Pi expansion board
1* 6V 5A power adapter
1* Screwdriver
1* Base
2* Ball
1* Card reader
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Product Description Powered by Raspberry Pi 4B 4GB, 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 4GB, 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 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
  • 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 Packing List 1* uHandPi (left or right)
1* Raspberry Pi 4B 4GB
1* Raspberry Pi expansion board
1* 6V 5A power adapter
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 4GB 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)
1* Raspberry Pi 4B 4GB
1* Raspberry Pi expansion board                          1* 6V 5A power adapter
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 4GB 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)
1* Raspberry Pi 4B 4GB
1* Raspberry Pi expansion board


1* Screwdriver
1* Base
2* Ball
1* Card reader

Customer Reviews

Based on 2 reviews
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S
S.C.

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
Vijay

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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