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Deep learning tools inspect food and organic products

机译:深度学习工具检查食品和有机产品

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摘要

Traditional rule-based machine learning inspection systems work well for many industrial automation applications Drawing tools are used to highlight cracks on chicken eggs and create training images for deep learning feature detection tools. because the parts being inspected are meant to be uniform in dimension and the requirements for a pass result are therefore relatively easy to program. For applications like feature detection, packaging completeness without predetermined object positions, or foreign body detection with a very large number of objects in each image, however, traditional machine vision may not have the potential to produce reliable, repeatable results.
机译:基于传统的基于规则的机器学习检测系统适用于许多工业自动化应用,绘图工具用于突出鸡蛋上的裂缝,并为深度学习功能检测工具创建培训图像。因为正在检查的部件是尺寸的均匀,因此通过结果的要求是相对容易的。对于特征检测的应用,没有预定的对象位置的包装完整性,或者在每个图像中具有非常大量的对象的异物检测,但是,传统的机器视觉可能没有产生可靠,可重复的结果。

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