In manufacturing environments, automated defect detection has become a key component in ensuring product quality, efficiency, and customer satisfaction. Detecting defects is crucial for several reasons. Firstly, it safeguards the reputation of the manufacturer by ensuring that only products meeting the highest standards reach the market, minimizing the risk of recalls or customer dissatisfaction. Secondly, it enhances operational efficiency by reducing waste, rework, and the overall cost of production. Finally, in industries where safety is a key consideration, such as in the automotive or aerospace sectors, defect detection can literally be a matter of life and death.
This is a companion discussion topic for the original entry at https://www.edgeimpulse.com/blog/ml-defect-detection/