Describe the key concepts of integrating machine vision systems in robotics and automation
- Explain the goals of integrating machine vision systems in robotics and automation
- Describe the main components of machine vision systems according to the work environment and requirements
- Apply robot simulation programming to design, test, and optimise robotic applications
- Perform tool center point calibration for the end effector on a robot to ensure accurate operation.
Apply image analysis techniques in machine vision systems
- Perform camera configuration and image acquisition setup to capture quality images for analysis
- Understand camera calibration to ensure accurate measurements and alignment in machine vision system
- Describe elementary object recognition and identification using features with vision tools
- Apply edge detection and localisation techniques
- Understand the significance of image match quality and its impact on the performance and accuracy of machine vision systems.
Develop a machine vision and pattern recognition application
- Identify the appropriate applications for vision guided robotics application
- Set up of a machine vision system to acquire an image
- Define boundary conditions for machine vision system for in robotics and automation
- Develop a machine vision assisted robotics application.
Assessment
Written test, online quiz, oral assessment
Level
Intermediate
Certification
Participants will be issued with a Certificate of Performance upon meeting 75% of the required course attendance.
