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Three types of surface detector are available, each based on a different kind of neural network.

Type 1 : It is Fast, can find several types – Fast: Detects a wide range of defects, however can suffer from a higher amount of false positives (good parts evaluated as bad by the software). (Bigger view-finder)

Type 2 – Experimental: This type can provide works well for fine defects such as scratches, dents and other types, however, it usually requires large larger amount of training data to perform well. (smaller view-finder)

Type 3 – Precise: Very precise heatmaps, does not generate many false positives, it is ideal when searching for objects. (no view-finder & ignore function not included)

View-finder

Size of the viewfinder view-finder determines how much the inspection will be focused. The size is selected depending on how detailed inspection model is desired. If you choose a size which is too small, you lose the knowledge of the surroundings and therefore can miss some defects; on the other hand, if chosen size is too large, details can be overlooked. Just as when a human eye focuses on detecting errors. Some errors are seen from a larger distance, and others can only be seen through a magnifying glass. Along with the size, the recognition speed also varies. There is no general rule on how to set the right size, you need to try out a number of sizes and learn how to estimate the best size at the first try. The size of the defects you are searching for might be of help.

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