Product Description
Raspberry Pi OpenCV Intelligent Vision PTZ
The Raspberry Pi OpenCV machine vision development kit is based on the Raspberry Pi 4B development board and is equipped with a USB high-definition camera and a two-degree-of-freedom gimbal.
The product uses OpenCV to implement visual functions such as color recognition, face recognition, QR code recognition, and gesture recognition. Each functional case provides a detailed principle explanation and Python source code.
Product parameters
| Raspberry Pi OpenCV Machine Vision Development Kit | |
|---|---|
| Product model | XR-CV-PRI |
| Master control | Raspberry Pi 4B development board |
| Gimbal parameters | 2-DOF gimbal |
| Camera resolution | 480P |
| Power supply | 9V power adapter |
| Interface | UART/SPI/I2C/PWM/GPIO |
| Master control system | Linux Ubuntu 18.04 |
| Servo model | XR-SG180 |
| Connection method | WiFi wireless 802.11b/g/n | RJ45 wired network |
| Machine vision framework | OpenCV 4 |
| Programming language | Python |
| Product size | 420x104x155 mm |
| Net weight of the body | 0.228 kg |
Product Display
2-DOF visual gimbal
The Raspberry Pi OpenCV machine vision development kit is equipped with two anti-blocking servos, which can drive the camera to control up, down, left and right, providing a wider visual coverage range!
AI Vision Functionality
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, and you can conduct in-depth secondary development of the code.
Color recognition
After the gimbal camera recognizes the specified color, it drives the gimbal to move up, down, left, and right according to the corresponding color.
Face recognition
When a face appears in the field of view, it will be quickly recognized and the gimbal will be driven to move up, down, left, and right to follow the face.
Size & Interface
Application Cases
The Raspberry Pi OpenCV smart visual gimbal has a wide range of application cases. In terms of interactive entertainment, it is used in exhibitions and events to interact with the audience through functions such as face tracking, increasing fun and participation; in robot vision, as the "eyes" of the robot, it helps the robot identify and track target objects, thereby achieving autonomous navigation, operation and other functions, and improving the robot's intelligence level; in educational experiments, it is an excellent teaching tool, through which students can learn knowledge such as deep learning, computer vision and embedded systems, and experience the practical application of related technologies firsthand.
Service
- Customized development and mass production of software and hardware product solutions for pipeline video inspection, bomb disposal, and survey robots for wind power, municipal administration, power and other industries.
- Customized development and mass production of teaching and training software and hardware products based on common open source platforms such as Micro:bit and Raspberry Pi.
- Customized development and mass production of other industrial control system software and hardware product solutions based on Internet of Things technology (ODM, OEM).
