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Image Analysis System for Testing in Manufacturing

机译:制造业测试的图像分析系统

摘要

A vision analytics and validation (VAV) system for providing an improved inspection of robotic assembly, the VAV system comprising a trained neural network three-way classifier, to classify each component as good, bad, or do not know, and an operator station configured to enable an operator to review an output of the trained neural network, and to determine whether a board including one or more “bad” or a “do not know” classified components passes review and is classified as good, or fails review and is classified as bad. In one embodiment, a retraining trigger to utilize the output of the operator station to train the trained neural network, based on the determination received from the operator station.
机译:用于提供机器人组件的改进检查的视觉分析和验证(VAV)系统,包括培训的神经网络三向分类器的VAV系统,将每个组件分类为好,坏或不知道,以及配置的操作员站使操作员能够查看培训的神经网络的输出,并确定包括一个或多个“坏”或“不知道”的类别分类组件的电路板通过审核并被归类为好的,或者失败审查并被分类坏。在一个实施例中,Retraining触发器以利用操作员站的输出基于从操作员站接收的确定来训练训练的神经网络。

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