Robotics and AI in Modern Inspection Systems focuses on equipping participants with advanced skills in automated inspection techniques. This course combines theoretical knowledge with hands-on project-based learning, allowing participants to develop practical solutions using cutting-edge technologies. Participants will engage in interactive sessions that emphasize real-world applications, culminating in a final project that showcases their understanding and innovation in the field.
The course offers a comprehensive exploration of the integration of robotics and artificial intelligence within inspection systems. Through collaborative projects and discussions, learners will delve into the design, implementation, and optimization of automated inspection processes. By the end of the program, participants will have a robust portfolio piece to present, potentially for publication in Cademix Magazine, demonstrating their capabilities to prospective employers or clients.
Fundamentals of Robotics in Inspection Systems
Introduction to Artificial Intelligence and Machine Learning Concepts
Sensors and Actuators: Selection and Integration
Designing Automated Inspection Workflows
Data Acquisition and Processing Techniques
Implementing Computer Vision for Quality Control
Robotics Programming: Tools and Techniques
Performance Metrics for Inspection Systems
Case Studies of Successful Automation in Industry
Final Project: Develop a Prototype Inspection System Utilizing Robotics and AI