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XuetangX

Machine Vision Application Technology

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Overview

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The course "Application Technology of Machine Vision" is designed based on the curriculum system for cultivating applied talents and shaping composite abilities. It integrates a modular curriculum structure, including basic theory modules, algorithm development modules, and system integration modules. It consists of elementary, intermediate, and advanced courses. Aligning with the vocational skill level standards for industrial vision system operation and maintenance, it realizes the seamless connection between course content and industry certification, advancing step by step. At present, the Electrical Automation Technology major of the School of Advanced Manufacturing Technology in our university has developed and implemented an online-offline hybrid course using online resources, adopting the "14 + 1 + 2" course model, that is, 14 weeks of concentrated teaching, plus 1 week of training at a specific time, and 2 semesters of course learning, so as to ensure the sustainable development of the course.

The course "Application Technology of Machine Vision" is divided into seven projects, each of which revolves around the core technologies and application scenarios of machine vision, aiming to help readers gradually master the basic principles, algorithm implementation, and practical applications of machine vision.

The course team consists of 10 members, including 2 with senior professional titles, 2 with associate senior professional titles, and 4 with intermediate professional titles. The proportion of double-qualified teachers is 100%, and there are 2 enterprise training lecturers certified by Guangdong Gongchuang Intelligent Technology Co., Ltd. and Qingdao Haizhichen Industrial Equipment Co., Ltd.

We have referred to many enterprises. These enterprises have not only promoted the development of machine vision technology but also provided rich practical experience and solutions for related application programming.



Syllabus

  • Project 1 Fundamentals of Industrial Vision Systems
    • Task 1 Fundamentals of Machine Vision
    • Task 2 Types and Performance Parameters of Industrial Cameras
    • Task 3 Types and Performance Parameters of Industrial Lenses
    • Task 4 Types and Performance Parameters of Industrial Light Sources
    • Task 5 Introduction to the Machine Vision Experimental Teaching Platform
    • After-Class Reading Materials
    • After-class discussion
    • Project 1 - Quiz
  • Project 2 Application of Vision Software and Counting
    • Task 1 Application of MV Viewer Software (Camera Driver Software)
    • Task 2 Application of KImage Software
    • Task 3 Principles of Soybean Counting
    • After-Class Reading Materials
    • After-class discussion
    • Project 2 - Quiz
  • Project 3 Dimensional Measurement
    • Task 1 Principles of XY Calibration
    • Task 2 Gears Measurement
    • Task 3 Principles of Mechanical Parts Measurement
    • After-Class Reading Materials
    • After-class discussion
    • Project 3 - Quiz
  • Project 4 Defect Detection
    • Task 1 Basic Principles of Defect Detection
    • After-Class Reading Materials
    • After-class discussion
    • Project 4 - Quiz
  • Project 5 Pattern Recognition
    • Task 1 Principle of Color Recognition
    • Task 2 Principles of QR Code and Barcode Recognition
    • After-Class Reading Materials
    • After-class discussion
    • Project 5 - Quiz
  • Project 6 Image Analysis
    • Task 1 Principle of PCB Image Stitching
    • After-Class Reading Materials
    • After-class discussion
    • Project 6 - Quiz
  • Project 7 Tangram Sorting
    • Task 1 Principles of N-Point Calibration
    • Task 2 Principles of Tangram Recognition and Puzzle Assembly
    • After-Class Reading Materials
    • After-class discussion
    • Project 7 - Quiz
  • Course Introduction

    Taught by

    GUANGXI TECHNOLOGICAL COLLEGE OF MACHINERY AND ELECTRICITY

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