THREE DAYS | R13 800 (Incl VAT) PER DELEGATE
Course Overview:
The Vision Training for Industrial Automation course is designed to equip participants with the knowledge and skills required to effectively utilize vision systems in industrial automation processes. This comprehensive course covers the fundamental concepts of vision technology, image processing, and machine vision systems. Participants will gain hands-on experience in setting up and configuring vision systems, optimizing image acquisition, implementing image processing algorithms, and integrating vision systems into automation workflows.
Course Duration: 3 days (8:30 – 16:00)
Course Cost: R13 800.00 per delegate
Target Audience:
- Engineers and technicians involved in industrial automation processes
- Automation and control system professionals
- Manufacturing and quality assurance personnel
- Robotics engineers
Prerequisites:
- Basic understanding of industrial automation systems
- Familiarity with programming concepts (recommended but not mandatory)
PROSPECTUS
Intro to Vision Systems
Course Objectives:
By the end of this course, participants will be able to:
- Understand the principles of vision technology in industrial automation
- Evaluate and select appropriate vision system components
- Configure and calibrate vision systems for optimal performance
- Implement image acquisition techniques for different industrial applications
- Apply image processing algorithms to enhance image quality and extract relevant information
- Integrate vision systems with automation equipment and control systems
- Troubleshoot common vision system issues
- Design and develop custom vision applications for industrial automation
Course Outline:
Day 1: Introduction to Vision Technology in Industrial Automation
- Introduction to vision systems and their applications in industrial automation
- Overview of vision system components: cameras, lenses, lighting, and image sensors
- Image acquisition techniques: frame grabbers, digital interfaces, and synchronization
- Camera calibration and geometric transformations
- Image processing pipeline overview: image acquisition, pre-processing, segmentation, and analysis
Day 2: Image Processing Techniques for Industrial Vision Systems
- Image pre-processing techniques: noise reduction, image enhancement, and filtering
- Image segmentation and object detection algorithms
- Feature extraction and pattern recognition techniques
- Colour image processing and analysis
- Machine learning for vision applications in automation
Day 3: Integration and Deployment of Vision Systems in Industrial Automation
- Vision system integration with automation equipment and control systems
- Communication protocols for vision systems: Ethernet/IP, Profinet, etc.
- Real-time image processing and control
- Troubleshooting and optimization of vision systems
- Designing custom vision applications for specific automation requirements
- Case studies and practical exercises
Delivery Method:
The course will be delivered through a combination of lectures, demonstrations, hands-on exercises, and case studies. Participants will have access to vision systems, cameras, and software tools to gain practical experience. The course will also include interactive discussions and Q&A sessions to ensure a comprehensive understanding of the topics covered.
Course Materials:
- Course handouts and lecture notes
- Reference materials and recommended readings
- Access to software tools and sample code for vision system programming
- Access to vision systems, cameras, and image processing software
Assessment and Certification:
Participants will be evaluated based on their understanding of the course content through practical exercises and a final assessment. A certificate of completion will be awarded to participants who successfully fulfil the course requirements.