Intelligent Inspection for Digital Manufacturing
About This Course
In Industry 4.0, digital technologies make manufacturing more agile, flexible and responsive to the customers. Nowadays, it is able to have a smart and digital factory where advanced technologies (Internet of Things (IoT), 5G, Machine Learning, Deep Learning, Artificial Intelligence Application etc.) work together to optimize the manufacturing process and improve customer satisfaction.
Machine vision systems together with automated image-based analysis & Computer Vision Technology offer manufacturers a certain level of assurance in product quality inspection & Process Quality Management. For inspection in quality assurance process, deep learning turns out to be a game changer as it is powerful in the way of mimicking human intelligence & Intelligent Reasoning to distinguish anomalies in complex patterns.
The attendees will become familiar with the principles of deep learning technologies. The process to develop a deep learning model which work as expected will be described in the course. Typical applications using deep learning technologies and deep learning research directions will be discussed and explained.
What You'll Learn
Machine vision systems together with automated image-based analysis & Computer Vision Technology offer manufacturers a certain level of assurance in product quality inspection & Process Quality Management. For inspection in quality assurance process, deep learning turns out to be a game changer as it is powerful in the way of mimicking human intelligence & Intelligent Reasoning to distinguish anomalies in complex patterns.
The attendees will become familiar with the principles of deep learning technologies. The process to develop a deep learning model which work as expected will be described in the course. Typical applications using deep learning technologies and deep learning research directions will be discussed and explained.
This course consists of 3 full-day sessions covering hands-on session using both commercial software and open-source networks for developing deep learning models. This would enhance the understanding of deep learning principles. At the end of the course, the attendees will be able to develop deep learning models for their potential inspection applications.
Entry Requirements
Diploma or above in any engineering discipline
Candidates with industry working experience on the topic but do not meet the above entry requirement may apply, subject to approval as exceptional cases