Defect Detection with Artificial Intelligence

Industry 4.0 has become a common theme throughout the manufacturing fields. It is applied to various manufacturing processes, including quality control and defect detection.

Various intelligent systems are being developed for detecting defects with the help of deep learning or AI.



Importance of Defect Detection

Quality control is a major factor in deciding profits in manufacturing. The defects in manufacturing include not only the visual defects like distortion in shape, wrong placing of components, etc. but it also consists of the performance defects like the malfunctioning of the product, machine, etc. so, there is always a need for reducing defects in the manufactured goods and increase profits. It leads to many innovations that incorporate machine learning and artificial intelligence to defect detection.

Why Defect Detection with Artificial Intelligence Makes Sense?

One of the most important challenges the manufacturers face is the detection of defects at the surface level. Most of the traditional methods followed for defect detection are manual, and there is a high risk of efficiency reduction in humans. One of the most valuable solutions to this problem can be Deep Learning/Artificial Intelligence. As machines can handle monotonous tasks with ease and efficiency can be maintained as per the requirement of the process.

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