Machine Vision Application Technology

Übersicht

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.

Lehrplan

• 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

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Unterrichtet von

GUANGXI TECHNOLOGICAL COLLEGE OF MACHINERY AND ELECTRICITY

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Fachgebiete

Computer Science