Utilizable in various scenes of the design process! Introducing our research and development "3D AI."
In this document, we introduce the activities of Astraea Software Co., Ltd. With the technology of "3D AI" that we have been developing, it is possible to directly recognize shapes from the nodes (vertices, coordinate positions) and elements (node connection information) that make up a 3D shape. 3D shapes captured by 3D scanners can also be recognized as they are and utilized in various scenes of the design process. Our company aims to permeate advanced technologies cultivated in large corporations throughout the industrial structure, providing strong support to the entire Japanese manufacturing industry. [Contents] ■ Why is 3D AI necessary? ■ Comparison of text-based AI and 3D AI ■ Comparison of 2D AI and 3D AI ■ Activity goals: Integration of AI/CAE/Cloud *For more details, please refer to the PDF document or feel free to contact us.
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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.