Combination of Keyence's XG-X and Toshiba's proprietary AI image inspection technology.
A hybrid approach to solving challenges in the implementation of rule-based appearance inspection systems.
In the automation of visual inspection, rule-based automatic inspection has been mainstream, but there are challenges such as: - The need for specialized knowledge (personalization) - Time-consuming setup - Inability to suppress false positives By combining the Meister Apps AI image automatic inspection package with the Keyence image processing system XG-X, it becomes possible for anyone to easily set up in a short time, and to suppress false positives through automatic threshold optimization. Additionally, it can be easily implemented retroactively without affecting operations, contributing to the improvement of current inspection accuracy.
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Image processing systems available for support: - Keyence XG-X series - Omron FH series *For more details, please contact us via the related link URL.*
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Examples of applicable visual inspections: - Scratch and dent inspection (surface irregularities) - Assembly defect inspection (complex shapes) - Component installation inspection etc. *For details, please contact us via the related link URL.
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Our company has been involved in the development of image processing inspection systems since 1985 and possesses extensive experience in developing various inspection devices. In the image inspection solution business (appearance inspection and surface inspection), we provide surface inspection systems that use cameras to inspect various defects that occur in the PTP packaging process of pharmaceutical manufacturing customers, such as tablet breakage, foreign substances on tablet surfaces, discolored tablets, foreign substances on sheets, and seal defects, for industrial materials like film, paper, and ferrous/non-ferrous materials. In addition to our unique inspection algorithms and lighting technologies, we leverage know-how from various industries to support the improvement of our customers' product quality.