You work as a quality engineer at a company that manufactures high quality hand-held tools, for example battery driven screwdrivers and drilling machines. The quality testing procedure is to be automated. One aspect of tool quality is the sound of the tool. It is known at the company that several defects can be identified by anomalies in the sound of the tool. Discuss how you could use machine learning techniques (unsupervised and/or supervised learning) to identify product defects based on sound. Maximum length of answer is 1000 words.
Hi @_Amo,
welcome to the forum. Please feel free to have a look at this article, it sounds pretty similar. There’re some inspirations for supervised and unsupervised learning approaches.
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