Six-Axis Vision Inspection Platform

$7,800

Available on backorder

This experimental platform is centered around a vision system and a 6-axis robotic arm. By deploying an AI software environment on an edge computing terminal, it enables the robot to perceive its environment and collaborate with other systems, creating AI-driven teaching scenarios for vision and robotics. The platform integrates image processing, machine vision, and robotic motion control technologies, offering an all-in-one hardware and software system. It is designed to support teaching and research in fields such as AI, robotics engineering, and automation, providing comprehensive solutions for education and research institutions.

Industrial-grade design
1-year warranty
Free technical support
Customization available
Educational resources included
Compatible with major platforms
Supports secondary development

Product Overview：

Supports teaching of Python programming, machine learning, deep learning, digital image processing, computer vision, and robot control;
Integrates robot and vision systems in a compact design, easy for teachers to use directly on the desk;
Uses edge computing terminal for processing power, supporting mainstream AI frameworks like PyTorch and TensorFlow;
Combines deep learning, machine vision, robotic control, and vision-robot collaboration technologies;
Built-in AI and vision algorithm library, featuring applications like object classification, object detection, defect detection, and OCR recognition, perfect for basic applications and development teaching.

Product Features and Functions

Open Experimental Environment
The experimental environment is based on Jupyter Notebook with the following features:
(1) Teachers and students can interactively program experiments directly in the browser;
(2) Supports Markdown editing, with cells used for coding and writing text, making it easy to explain code and apply in teaching, supporting titles, mathematical formulas, and formatting;
(3) The experimental environment can be verified by running commands in the terminal;
(4) Supports multiple students running different models for sample recognition, meeting the requirements of various experiments;
(5) Supports popular deep learning frameworks, including TensorFlow, PyTorch, etc.;
(6) Teachers can leave code modules empty for students to complete programming tasks.
Open Source Code
Full access to the software framework and algorithm source code is provided, supporting secondary development. The product also includes comprehensive experiment guides, technical documentation, and architecture/design documents for both hardware and software.
Graphical User Interface Software (Windows Only)
The Hikvision Vision Master software offers a graphical user interface with intuitive icons and drag-and-drop operations for easy setup. The system displays module status in real-time.
Key Technical Specifications and Features:
(1) Includes nearly 1,000 image processing operators and 130+ module tools, supporting multiple operating systems and image acquisition hardware;
(2) Users can create personalized visual solutions and customize the interface;
(3) Compatible with GigE Vision and USB3 Vision protocols, supporting various camera brands and local image processing;
(4) Simplified secondary development interface saves up to 90% of code, and new controls can be imported directly into Visual Studio, supporting QT, MFC, WPF, and WinForm development;
(5) Supports user-customized module development, enabling users to encapsulate their algorithms into VM modules for drag-and-drop usage;
(6) Supports TCP/IP, ModBus, serial ports, UDP, Ethernet/IP, and other common industrial communication protocols, and is compatible with mainstream PLC communication.
Machine Vision and Object Recognition
Algorithms based on the open-source OpenCV library are developed for applications such as ID card recognition, license plate recognition, character recognition, object recognition, and defect detection.
Robot Vision Calibration
By integrating a vision system into the robot, it enables autonomous, intelligent motion, allowing the robot to perform tasks such as waste sorting, logistics handling, stacking, and object sorting.
Vision-based Robotic Applications
The robot arm, combined with the vision system, can identify objects of different sizes and shapes, enabling applications such as object sorting, intelligent stacking, object recognition, and character recognition for AI-based practical training projects.