Classifying and searching three-dimensional shapes as they are, significantly improving design efficiency.
Aries Series "Aries 3D-Matching"
A must-see for 3D CAD engineers in the automotive, machinery, and electronics industries! You can classify and search libraries using only three-dimensional shapes, significantly improving design efficiency!
3D Shape Matching (Patent No. 7190147) Aries 3D-Matching searches for parts that match the target shape and size from a registered library and outputs them in order of highest match degree. You can easily access design data registered in PLM from the matching results. This promotes the effective use of past design assets and significantly improves work efficiency. Our company has obtained a patent for this AI technology (Patent No. 7190147). Classification by Part Shape The classification function of Aries 3D-Matching focuses solely on the three-dimensional shape of parts, classifying them into specified classes and outputting class names in order of highest match degree. You can easily access data registered in PLM from the classification results. This promotes the effective use of data and greatly enhances work efficiency. Functionality as PLM Aries 3D-Matching is equipped not only with the function of searching three-dimensional shapes but also with features as a PLM product. It includes comprehensive functions such as management of classification results, graphic data, supplementary information, text search, and permission management.
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basic information
Aries 3D-Matching utilizes 3D AI technology to directly recognize three-dimensional shapes created by 3D CAD or 3D scanners, enabling classification and search of shapes. The technology used in the product is a new method that directly recognizes three-dimensional shapes without utilizing 2D images, and it has been patented as an AI-based 3D shape search technology (Patent No. 7190147). The AI module is provided as a Windows executable module and can also be called and used from your currently used PLM system.
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In the manufacturing industry, the use of three-dimensional data such as 3D CAD data is becoming widespread, but in AI, the use of two-dimensional data is mainstream, and the use of three-dimensional data is still not in sight. Our company is considering how to make better use of 3D CAD data in the manufacturing industry and contribute to improving QCD, and we are conducting research and development on three-dimensional shape recognition technology using AI and deep learning. Based on the latest AI research results, our company has successfully developed a three-dimensional AI model that can recognize three-dimensional shape data. With this groundbreaking three-dimensional AI technology, we will spread three-dimensional AI throughout the engineering chain centered on CAD, CAM, and CAE, contributing to the improvement of QCD. Moreover, three-dimensional AI is a new technology, and its potential is limitless. We will promote research and development of three-dimensional AI and spread this pioneering three-dimensional AI technology not only in the manufacturing industry but also in many other industries, contributing to the improvement of QCD.