"Roxy AI," which realizes the automation of visual inspections, has been upgraded to version V1.13! An AI that has learned from inappropriate data is useless. Roxy AI maximizes AI performance by cleaning the data!

The AI used for visual inspection places the utmost importance on accuracy. Many visual inspection AI products aim to improve accuracy by adding data or repeatedly tuning parameters until accuracy increases. To achieve high precision under the condition of having a limited number of defective samples, Roxy AI emphasizes data organization.
In this version upgrade, various features have been added to make it even more user-friendly and to achieve even higher accuracy.
- Judging the quality of shooting conditions before AI learning: It is often discovered after trial and error that the reason for low AI accuracy was poor imaging conditions. Roxy AI detects adverse conditions that could negatively impact AI learning before the learning process begins, minimizing unnecessary trial and error and rework.
- Automatic data organization: There is no need to manually check large amounts of data thoroughly. By automatically excluding data deemed inappropriate by the AI during training, the time and labor required for data organization are reduced.
- Additionally, an integrated viewer that allows observation of data from various perspectives, among other features.

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