Easy integration with KEYENCE products! AI inspection software 'Roxy AI'

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.

We have upgraded the "runtime environment" that allows for the rapid construction of AI inspection systems. We have enhanced the functionality of the configuration tool, enabling various settings to be implemented without programming, and have released sample configurations that can be used immediately. 【Enhanced Functionality of the Runtime Environment】 In collaboration with Keyence devices, the LumiTrax feature and multispectral capabilities allow for the simultaneous acquisition of multiple image types generated from a single shot, enabling continuous AI inspections. This reduces processing time when conducting inspections using multiple image types compared to previous methods. Additionally, the inspection procedures for high-speed, high-precision AI inspections utilizing the image integration feature (patent pending) supported in Roxy AI's learning environment v1.11 can now be easily constructed using the configuration tool. 【Release of Sample Configurations】 We provide sample configurations included in the runtime environment that allow users to easily try out the AI inspection system. These samples can be freely modified and added to using the configuration tool. Therefore, they can also be utilized as configuration templates when building the actual inspection system environment for your use.

We have released Roxy AI V1.11. Various features have been added to achieve further improvements in accuracy and usability. - Added image integration feature (patent pending) The image integration feature is very effective when using KEYENCE's LumiTrax to capture and inspect multiple types of images (such as shape images). It allows for annotation, learning, and inspection of multiple types of images at once, improving accuracy, shortening inspection time, and reducing the effort required for AI creation. - Added new AI model Compared to previous AI models, accuracy has been further improved. The inspection speed remains high, similar to previous AI models. - Enhanced detection capability for unknown defects Roxy AI can detect not only learned defects but also unknown defects. In this version, the detection capability for unknown defects has significantly improved. - Added variations for data organization Data organization is a feature of Roxy AI. In this version, we have enhanced functions to extract and organize inappropriate data during learning, as well as boost functions to strengthen weaknesses. - Additionally, many features have been added that contribute to improved accuracy and usability.