首页|Patent Issued for System and method for detecting defects on imaged items (USPTO 11982628)

Patent Issued for System and method for detecting defects on imaged items (USPTO 11982628)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Inspekto A.M.V. Ltd. (Ramat Gan, Israe l) has been issued patent number 11982628, according to news reporting originati ng out of Alexandria, Virginia, by NewsRx editors. The patent’s inventors are Eshar, Dagan (Tel Aviv, IL), Ginsburg, Ran (Ramat Gan , IL), Hyatt, Yonatan (Tel-Aviv, IL), Zohav, Gil (Beer Sheva, IL). This patent was filed on May 10, 2019 and was published online on May 14, 2024. From the background information supplied by the inventors, news correspondents o btained the following quote: “Inspection during production processes helps contr ol the quality of products by identifying defects and then acting upon this dete ction, for example, by fixing the defect or discarding the defective part. The p rocess of defect detection is important for quality assurance (QA) gating and so rting, and is also useful in improving productivity, reducing defect rates, and reducing re-work and waste. “Automated visual inspection methods are used in production lines to identify vi sually detectable anomalies that may have a functional or aesthetic impact on a manufactured part. Due to the underlying technologies that drive them, current v isual inspection solutions for production lines are typically highly customized to a particular QA, gating, or sorting task.

BusinessCyborgsEmerging TechnologiesInspekto A.M.V. Ltd.Machine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.5)