COMPUTER VISION TECHNOLOGY AND APPLICATIONS

Übersicht

The course seamlessly integrates real-life scenarios into project practices, accurately mapping computer vision technology to four essential areas of daily life:

clothing, food, housing, and transportation. Each module is deconstructed into quantifiable, operational engineering tasks, featuring critical practical training components such as color space conversion debugging in virtual try-on technology, and image enhancement strategies under extreme weather conditions for smart transportation scenarios.The supporting resources highlight local characteristics and the advantages of industry-education integration, providing engineering-oriented teaching vehicles such as a production-grade dataset of local fruits and vegetables from Guangxi, and real-time response parameters for edge computing devices.

By strictly aligning with corporate job metrics and competency models, the course achieves a seamless transition from classroom training to industrial application.

Lehrplan

• Module 1 Eyes of Intelligence: Introduction to Computer Vision Technology
1.1 Construction of "Digital China" and Industry Status
1.2 Computer Vision Technology Application and Professional Standards
• Module 2 Rationale Behind the "Eyes": Fundamentals of Computer Vision
2.1 Understanding and Selection of Light Sources
2.2 Understanding and Selection of Lenses
2.3 Understanding and Selection of Cameras
2.4 Understanding Digital Images
2.5 Preliminary Knowledge for Learning Digital Image Processing
• Module 3 The "Eyes'" Medium: Development Environment Setup
3.1 Software Installation
3.2 Development Environment Setup
3.3 Digital Image Processing and Recognition
3.4 Complete Your First Image Processing Instance
• Module 4 "Food" Safety in Every Moment: Applications of Intelligent Catering Inspection
4.1 Recognition of Common Fruits and Vegetables (KNN Algorithm Practice)
4.2 Fruit and Vegetable Recognition (YOLO Object Detection)
• Module 5 "Clothing" at a Glance: Applications of Intelligent Apparel Management
5.1 Task Introduction
5.2 Development Environment Setup
5.3 Image Processing and Enhancement
• Module 6 "Safe" at Home: Smart Home Vision Applications
6.1 Facial Recognition Access Control
6.2 Specific Behavior Recognition (Fall Detection)
• Module 7 "Effective" Mobility: Intelligent Transportation Vision Applications
7.1 License Plate Recognition (OCR Technology)
7.2 Pedestrian Counting (Traffic Flow Statistics)
• Module 8 Comprehensive Practice
8.1 Preparation of Project Technical Proposal
8.2 System Integration Demonstration
8.3 Project Defense and Optimization Report
• Knowledge Extension
• Final Exam

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Unterrichtet von

GUANGXI TECHNOLOGICAL COLLEGE OF MACHINERY AND ELECTRICITY

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Fachgebiete

Artificial Intelligence