2020 Eric Stern Award
Application of IAI in Quality Assurance
ASQ Montreal Section
Gina Cody School of Engineering and Computer Science
The champion will receive $500 CAD.
Recent increased enthusiasm towards Computer-Integrated Manufacturing (CIM) coupled with developments in smart sensor technologies and advances in communication systems have resulted in simultaneous incorporation of several advanced monitoring and sensing technologies within manufacturing and industrial sectors. Conventional production monitoring, anomaly detection, and quality control techniques are incapable of efficiently coping with the rich information content provided by such high-dimensional data sources. Through this trend in manufacturing technology revolution, the mode of industrial and manufacturing production is gradually moving towards intelligence. In particular, Industrial Artificial Intelligence, referred to as IAI, is positioning itself as the transformative technology of the century addressing key analytical challenges associated with conventional industrial process monitoring solutions in dealing with availability of such high variety, high dimensionality, and high velocity condition-monitoring data.
The 2020 Eric Stern Award focuses on design of novel and innovative inspection and control systems for defect detection. Inspection and control systems in place should be capable of performing timely anomaly detection in final product in real time by designing and developing advanced IAI and Machine Learning (ML) based solutions. The students are responsible to find an appropriate data set. The evaluation will be performed based on the best achieved test accuracy, quality of final report, and presentation.
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