Abstract
The learning factory developed in the School of Engineering Practice and Technology at McMaster University is an academic entity that focuses on education, applied research and training. One of the current focuses of this learning factory is the integration of Artificial Intelligence (AI) learning models that support the delivery of AI-related curricula. The development and use of applications related to prediction systems are presented, and an approach to develop an AI prediction model for machine health monitoring used for education and training is described. Four small cyber-physical systems that have been designed, built, and put in operation for demonstration and applied research on AI technology topics are described. AI based vision systems for quality monitoring, object detection, gesture recognition, and facial recognition are also described. The readers can contact the authors to get detailed information about the hardware, software modules, libraries and procedures used to teach the neural networks and develop the prediction models.
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The projects presented in this paper are supported by Future Skills Centre, Canada.
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Centea, D., Singh, I., Gadhrri, A., Hodgins, S., Schmidt, R. (2022). Integration of Software and Hardware AI Learning Models in the SEPT Learning Factory. In: Auer, M.E., Tsiatsos, T. (eds) New Realities, Mobile Systems and Applications. IMCL 2021. Lecture Notes in Networks and Systems, vol 411. Springer, Cham. https://doi.org/10.1007/978-3-030-96296-8_29
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