Waveshare RaspRover 4WD AI Robot, Dual Controllers, All-Metal Body, Computer Vision for Pi 4B (US)

• Waveshare RaspRover 4WD AI Robot, Dual Controllers, All-Metal Body, Computer Vision for Pi 4B (US)
• Supports AI vision with Raspberry Pi
• Features dual-controller high performance
• Captures wide-angle views with 5MP camera
• Enables gesture recognition and object tracking
• Ensures durable all-metal construction

The Waveshare RaspRover 4WD AI Robot, Dual Controllers, All-Metal Body, Computer Vision for Pi 4B (US) is an advanced open-source robotic platform designed for exploration and innovation. It is particularly suitable for technology enthusiasts, makers, and programming beginners who wish to delve into the realm of intelligent technology. This robot is equipped with a high-performance Raspberry Pi computer, enabling it to tackle complex strategies and functions while fostering creativity.

The RaspRover features a dual-controller design that combines the high-level AI capabilities of the host controller with the high-frequency operations of the sub-controller, ensuring precise and smooth operations. It supports real-time video transmission and multiple AI computer vision functions, making it an ideal platform for realizing creative ideas. The robot can be controlled remotely via a web application, eliminating the need for software downloads and allowing users to connect through various devices such as mobile phones, tablets, and computers.

Equipped with a 5MP 160° wide-angle camera, the RaspRover offers a comprehensive view for capturing details. It supports OpenCV-based recognition, tracking, and targeting, including face detection and intelligent object recognition. Gesture recognition is also supported, allowing AI interaction through body language. The robot’s vision line tracking function facilitates autonomous driving, and it includes reserved space for peripheral expansion.

The RaspRover’s all-metal body ensures durability, while its high-speed motors and high-frequency PID closed-loop speed control provide quick response and accurate speed management. The robot also supports multiple audio interaction methods and real-time monitoring of its operating status. It features ESP-NOW wireless communication for multi-device collaboration and supports 4G/5G expansion for scenarios without WiFi.

The platform includes cross-platform interactive tutorials accessible via Jupyter Lab, enabling users to learn and develop simultaneously. The robot’s design incorporates a high-strength aluminum body and a multi-functional driver board with an ESP32 module, which handles various sensor data and control functions efficiently.