| 摘要 |
Embodiments of the invention include systems and methods relating to self-learning machine vision systems. In an embodiment, the invention includes a self-learning machine vision system including a video input; a processor in communication with the video input; and a video output in communication with the processor. The processor is configured to process video data from the video input and identify a number of repeating units within the video data. The processor is further configured to identify repeating units that deviate from the other repeating units. The system can further display an image of the repeating units through the video output with indicia to indicate identified deviant repeating units. In an embodiment, the invention includes a method of identifying defects in a stream of produced items including processing video data from a video input with a computing system; identifying a number of repeating units within the video data; identifying repeating units that deviate from the other repeating units by comparing the repeating with one another; and displaying an image of the repeating units through a video output with indicia to indicate identified deviant repeating units. Other embodiments are also included herein.
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