| Quality assurance systems utilize RFID, sensors, video monitoring, remote information distribution and cloud solutions on the production line to streamline inspection procedures, improve decision making, and reduce costs driven by quality defects. |
| The accuracy of machine vision boosts quality through improved defect detection, real time quality inspection, precise component measurement, and tolerance monitoring. Systems are not on the market that address issues at all stages of the product lifecycle, including material input inspections, production inspections, final product inspections, loading and delivery supervision, and sensors on final products to provide real time maintainance data.
Visual quality detection technology is currently used widely for inspection of microchips, resistors, and components such as lead frames and capacitors. In the automotive industry, these technologies are used in control systems for inspection of painted surfaces, industrial robots, welding quality control, checking engine block.
Key vendors: Basler, Cognex, National Instruments, Omron |
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