Defect Detection with Artificial Intelligence

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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. For the complete
in-depth article on Defect Detection with
Artificial Intelligence, please visit _at_
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