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ELECTRICAL CONTROLS FOR INDUSTRIAL AUTOMATION
Over the years, as quality demands increased, this method proved to be inefficient; both in cost and effectiveness. Depending on the speed of the production line, it sometimes is impossible to perform a 100% inspection of all produced parts. This can result in allowing bad parts to be delivered to the end client, and can negatively affect the reputation of the manufacturer.
Machine vision is fast and can keep up with the speed of most production lines. It is able to perform a 100% inspection on every part produced. This ensures that only good parts are shipped saving the manufacturer time, money, and reputation.
Now, let's talk about how it does this. Vision inspection works by combining state-of-the-art cameras with high-speed image processing. This means that no matter what your throughput, there is a vision system able to meet your needs. As parts pass by, sensors can trigger the camera to capture an image of the part. This image will show the region of interest where the defect can be found. Using image filtering, the defect can be exaggerated to enhance detection. Upon recognition of a defect, the vision system can output a signal to the machine's control system and initiate an automated rejection sequence, or stop the machine to allow for manual removal of the rejected part.
For those unfamiliar with machine vision, we will provide a brief overview of how it works and the benefits it can offer.
Every manufacturing facility aspires to deliver only the highest quality product to their customers.
In order to accomplish this there usually is an inspection station somewhere in the production process to check for defects. Historically this quality inspection has been performed manually by operators who inspect the product visually for defects.