Vision systems process information from a captured image. Actions taken can range from a simple pass/fail, good/not good output to making complex decisions based on an image and converting this to useful data. Applications include processing and packaging machinery, and assembly.
Vision systems incorporate an object detection sensor, a camera or cameras, and lighting to produce digital images of products/objects that can be analyzed to guide the manufacturing process. These systems can be used to check production output for flaws or verify an object's positioning before entering the next phase of production. Applications include part orientation for pick and place systems, verifying proper application of tamper-proof seals, or checking solder connections in circuit board production.
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Vision sensors are intelligent self-contained systems that can be taught what images represent a quality product or proper object orientation. Comparing this data with real-time product images, the sensor can determine a pass/fail or good/no good condition and trigger the corrective actions. Verifying fill level, cap orientation, and label presence as product exits a bottling line is one example of an application these sensors are designed for. They can even make complex decisions involving the color of a product for quality assurance purposes.