A course where you can learn about the mechanism of anomaly detection through AI utilization will be held, featuring a hands-on experience in AI software development. Supervised by Akira Fukuda, Emeritus Professor at Kyushu University.
■Case Study We have successfully delivered our AI learning kit to Kumamoto Prefectural Technical College, where it will be utilized in the AI and machine learning curriculum. This time, as an experiential course featuring the characteristics of this teaching material, the teachers experienced AI software development that captures changes in the cooling fan's operating sound using a microphone and utilizes that as learning information for anomaly detection through AI. Kumamoto Prefectural Technical College, located in a region bustling with TMSC and major domestic semiconductor factories, serves as a training hub for manufacturing engineers in fields such as electrical, electronic, mechanical, and information engineering, producing many engineers. Our engineers and instructors will collaborate with the teachers to provide support in developing an even better curriculum.
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■Comments on the Adoption of This Teaching Material "The terms AI and machine learning have been appearing in various contexts, including the intent of introduction, methods of utilization, and future expectations. As a department, we felt a responsibility to ensure that our students acquire a certain level of knowledge before graduation. Since most of our graduates go on to work in the manufacturing industry, we believe it is meaningful for them to experience 'anomaly detection,' which is often cited as a use case for DX (digital transformation). Additionally, since our department focuses on embedded systems, the ability to experience AI using Raspberry Pi was a decisive factor for its adoption. The material allows for a clear step-by-step approach to data collection, learning, and inference, so after solidifying the basics, we would like to utilize this learning kit for applications."
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Applications/Examples of results
■ Suitable for AI projects in industrial high schools, used in beginner and intermediate courses. Creation of texts tailored to the students' levels (optional). Example: Editing practical training sessions of 50 minutes each for 3 sessions. The teaching materials are provided as exercises for "anomaly detection" using AI. ■ As teaching materials for corporate technical training, it can be utilized as a practical first step for beginners in systems related to manufacturing sites, factories, agricultural plants, etc.
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