Hiwonder MasterPi AI Vision Robot Arm, driven by McNam Wheel Hub Automotive and Raspberry Pi Open Source Robot Automotive (including Raspberry Pi 4B 4GB)
McNam wheel hub chassis, high-quality metal gear servers, and high-definition cameras
Use a 5DOF robotic arm and high-definition camera to search and extract items.
Utilizing advanced omnidirectional Mecanum wheels for flexible 360 ° movement
Provide ultimate control over movement, grabbing, and transportation through dedicated applications.
Supports Python programming running on Raspberry Pi 4B (note: this kit includes Raspberry Pi 4B 4GB motherboard and expansion board)
DESCRIPTION
MasterPi is an intelligent visual robot vehicle driven by Raspberry Pi. Based on the Mecanum wheel hub chassis, you can use high-quality metal gear servers and high-definition cameras for Python programming. Master Pi unlocks various AI applications with powerful features.
1) Artificial intelligence visual robotic arm
The MasterPi host is equipped with a 5-degree-of-freedom robotic arm, which can easily grasp and transport target items. The end of the MasterPi robotic arm is equipped with a high-definition wide-angle camera, which can perform pupil following operations.
2) 360 ° all-round movement
The MasterPi is equipped with four universal Mecanum wheels that can rotate 360 °, allowing it to boldly challenge various complex tracks with multiple sports modes (forward, horizontal, diagonal, and rotary) and excellent performance.
1. Visual recognition, target tracking
MasterPi uses OpenCV as an image processing library to recognize target objects and perform AI games such as face tracking, color tracking, QR code recognition, gesture recognition, object recognition, and line tracking.
1) First person perspective, high-definition transmission of images
Masterpi supports WLAN and WIF direct connection methods. After connecting to WiFi, the APP interface will return to a first person perspective, making remote operations more exciting and realistic!
2) Color classification
The robotic arm has rich tutorials and open-source pipeline code, which can perform tasks such as color recognition, picking, and classification.
3) Target tracking
By using the visual position of the target object and the inverse kinematics algorithm of the robotic arm, it is possible to better aim and track the target object.
2. Follow the line of sight and operate intelligently
MasterPi uses OpenCV as an image processing library and FPV to recognize and locate target blocks, thereby achieving AI games such as color classification, color recognition, and line tracking.
3. PC software control
By using graphical upper computer software, dragging the slider without writing code can control the rotation of the robot servo and edit the robot action group.
4. Threshold adjustment tool
MaterPi has a color threshold adjustment tool that allows for visual fine-tuning of the LAB color space.
5. APP control
The One The Pi application supports both Android and iOS, making it easy and quick to switch game modes and experience various AI games.
6. Easy to implement
MasterPi is a simple assembly that allows you to experience the fun of robot assembly with just a simple guide.