摘要
由一名新闻记者兼机器人与机器学习公司的新闻编辑每日新闻-Inspekto a.m.v.根据NewsRx编辑从弗吉尼亚州亚历山大市发回的新闻报道，Ltd.（Ramat Gan，Israe L）已获得专利号11982628.该专利的发明者是Eshar、Dagan（伊利诺伊州特拉维夫）、Ginsburg、Ran（伊利诺伊州拉马特甘）、Hyatt、Yonatan（伊利诺伊州特拉维夫）、Zohav、Gil（伊利诺伊州比尔谢瓦）。该专利于2019年5月10日提交，并于2024年5月14日在线发布。从发明人提供的背景资料中，新闻记者引用了以下引文：“生产过程中的检查通过识别缺陷，然后对缺陷采取行动，例如修复缺陷或丢弃缺陷零件，有助于控制产品的质量。缺陷检测的过程对于质量保证(QA)浇注等非常重要。”“自动化视觉检查方法在生产线上被用来识别可能对制造零件产生功能或美学影响的视觉可检测异常。由于驱动这些异常的底层技术，目前生产线的视觉检查解决方案通常针对特定的QA、门控或分类任务进行高度定制。”
Abstract
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.
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