A premium car brand can offer more than 40 versions of seats across different product lines, but EasyODM can easily adapt to support different seat models, layouts, trims, and finishes. Legacy car-seat quality inspection software was developed to work only with a particular seat model, meaning that it needed to be calibrated to support new products. It was also not tolerant of manufacturing realities—for instance, that a seat for inspection could arrive slightly bent or a few centimeters off from the ideal inspection point.
(EasyFlow: Kaunas, Lithuania) — Artificial intelligence can significantly increase accuracy and reduce time for car seat quality inspection. EasyFlow’s EasyODM—a dedicated AI and computer vision software—was deployed at a production facility of a leading global car seat manufacturer. Over the course of two years, the software was able to reduce car seat inspection time to 2.2 seconds, with an overall performance accuracy of 99%.
“EasyODM software has a transformative value for automotive manufacturers,” says Jokubauskas. “Its killer feature—the ability to support multiple seat designs with little-to-no extra effort—provides tremendous ROI for end clients. In a competitive, fast-paced automotive market, this allows suppliers to quickly adjust to new trends and requirements, giving them a significant competitive edge.”
EasyODM was extensively tested at the facilities of one of the largest car seat manufacturers. With more than 250 manufacturing and assembly plants globally, the company provides services to leading automotive brands.
With area scan cameras installed on the production line, the system was able to identify such manufacturing defects as wrinkles, scratches, staining, and creases. Defects could be attributed to a certain seat area and—depending on the manufacturing workflow—defective seats could be forwarded for automated robotic or manual defect removal.
“Manual seat inspection usually takes around 60 seconds,” says Simas Jokubauskas CEO of EasyFlow, creator of EasyODM. “By utilizing AI, this process can be reduced to only 2.2 seconds on average. Inspections by humans for simple defects or low-volume production, while accurate, remain monotonous, time-consuming, and susceptible to fatigue-caused errors. AI introduces uniformity in quality control, operating at and even exceeding human levels of accuracy.”
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EasyODM was developed to accommodate a diverse product portfolio and often imperfect manufacturing environment. At first the software identifies the seat in the image and isolates it from the background noise. Then, pixel by pixel, the software scans segments of the seat for defects, highlighting the affected regions in the image. The highlighted defects can then be forwarded for automated removal. After defects are eliminated, the software performs an additional quality check.
Published: Thursday, September 21, 2023 – 12:01