Full-featured OpenCV Vision Kit: Supports face detection, color recognition, QR code scanning, gesture recognition, edge detection, and AR (Aruco). Covers major AI vision applications.
2-DOF Vision Pan-Tilt for Active Tracking: Equipped with two anti-jam servos for precise up/down & left/right control. Enables auto-tracking of faces or colored objects for wider coverage.
Complete Python Source Code + 38 Lessons: Each project includes detailed explanations and ready-to-run Python code. 38 structured lessons cover theory, hands-on experiments, and code analysis.
Mainstream Hardware with Strong Expandability: Built on Raspberry Pi 5, running Ubuntu 18.04. Supports WiFi/Ethernet, rich interfaces (UART/SPI/I2C/PWM/GPIO) for sensors and peripherals.
XiaoR GEEK Raspberry Pi OpenCV smart robot vision gimbal/ PTZ development kits is a Linux intelligent machine vision development kit based on Raspberry Pi 4B as the hardware platform and OpenCV as the software platform. It is mainly targeted at machine vision, embedded Linux development and other fields.
The product is equipped with a two-degree-of-freedom gimbal and a high-definition USB camera. The gimbal can drive the camera to rotate up, down, left, and right.
The product integrates many interesting machine vision recognition functions, such as: visual recognition of faces, visual recognition of colors, visual recognition of QR codes, AR virtual reality, gesture recognition, etc.; each visual function provides source code written in Python. You can conduct in-depth secondary development of the code.
This course will start with an introduction to basic machine vision knowledge, and will guide you through advanced learning of OpenCV, machine vision case experience, secondary development environment construction, and AI visual programming; it is both educational and entertaining, allowing you to learn valuable lessons while playing. Machine vision knowledge.
Raspberry Pi OpenCV Machine Vision Development Kit
