Hiwonder MasterPi AI visual robotic arm, equipped with a Mecanum wheel car, driven by Raspberry Pi open-source robot car (including Raspberry Pi 4B 4GB)

Adopting a Mecanum wheel chassis, high-quality metal gear servers, and high-definition cameras

5DOF robotic arm and high-definition camera for locating and picking up items

Advanced omnidirectional Mecanum wheels enable flexible 360 ° movement

Provide ultimate control over its movement, grip, and transportation through dedicated applications.

Supports Python programming, powered by Raspberry Pi 4B (note: this kit includes Raspberry Pi 4B 4GB board and expansion board)

product description

MasterPi is an intelligent visual robot car driven by Raspberry Pi. It is based on the Mecanum wheel chassis, using high-quality metal gear servers and high-definition cameras, and can be programmed using Python. MasterPi has unlocked various AI applications with its powerful features.

1) Artificial intelligence visual robotic arm

The MasterPi body is equipped with a 5-degree-of-freedom robotic arm, which can easily grasp and transport target objects. The end of the MasterPi robotic arm is equipped with a high-definition wide-angle camera, which can perform eye tracking operations.

2) 360 ° all-round movement

The MasterPi is equipped with four universal Mecanum wheels that can rotate 360 °, with multiple motion modes (forward, horizontal, diagonal, rotation) and excellent performance, allowing it to challenge various complex routes.

1. Visual recognition, target tracking

MasterPi uses OpenCV as an image processing library to recognize target objects and complete 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 operation interface will return to a first person perspective, making remote control more exciting and realistic!

2) Color classification

The robotic arm has rich tutorials and open-source Python code, which can perform operations such as color recognition, picking, and classification.

3) Target tracking

By using visual positioning of the target object and inverse kinematics algorithm of the robotic arm, it is possible to better aim and track the target object.

2. Eye tracking and intelligent control

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, there is no need to write code. Simply drag the slider to control the rotation of the robot servo and edit the robot action group.

4. Threshold adjustment tool

MaterPi is equipped with a color threshold adjustment tool that allows you to intuitively fine tune the LAB color space.

5. APP control

The WonderPi app supports both Android and iOS, allowing for easy and quick switching of game modes and experiencing various AI games.

6. Easy to build

MasterPi is easy to build, with just simple guidance, you can experience the fun of building robots.