Solving the problems of the manufacturing industry! We undertake research and development (R&D) typically starting from three months.
At Crystal Method Co., Ltd., we utilize AI to conduct research and development that will surely help solve your company's challenges. Our services and research cover a wide range of areas, but we would like to introduce our inspection using 2D/3D data and anomaly detection through sound. Firstly, for 2D data, we can detect the position and number of objects using our object recognition AI, allowing us to automatically and quickly identify installation errors, omissions, and defective products that were traditionally done manually by visual inspection, with high precision. Additionally, anomalies that are difficult to accurately capture in 2D, such as irregular shapes, can be detected with high accuracy using 3D data. Inspections using 3D data can achieve a high detection accuracy of approximately 90% to 95%. We are solving the challenges faced by the manufacturing industry with these technologies. Please feel free to contact us. *For more details, please refer to the PDF materials or feel free to reach out to us.*
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【Inspection Details】 ■ Automatic Estimation of Inspection Targets ・Segmentation of areas with threads ・Processing limited to the minimum necessary inspection area ■ Automatic Adjustment of Angle, Focus, and Zoom ・Capturing images from different distances and angles, obtaining distance with a depth camera ・Calculating the appropriate angle of view from distance information and adjusting to the same shooting angle 【Research and Development】 ■ Deep learning using sound and 2D, 3D AI ■ General-purpose artificial intelligence ■ Natural language processing 【Product Lineup】 ■ Conversational AI HAL3 ■ One-class classification system 'Winry' ■ DeepAiCopy *For more details, please refer to the PDF materials or feel free to contact us.
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For more details, please refer to the PDF document or feel free to contact us.
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Crystal Method Co., Ltd. is a company primarily engaged in system development in Deep Learning, various computer vision, and big data. Our goal is to conduct business with the aim of being able to reproduce the mechanisms of human cognition with computers. We aim to build AI that allows doctors to consult on surgical methods using these technologies.