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Research and Development: "3D Shape Recognition and Shape Classification"

Research and Development: "3D Shape Recognition and Shape Classification"

Using convolution techniques that minimize distortion of shape features! Classification is possible even when viewing the overall shape from above.

"Shape classification" is the task of classifying three-dimensional shapes into predefined classes. It uses convolution techniques that minimize the loss of shape features, allowing for classification whether focusing on a part of the shape or viewing the overall shape from a broader perspective. It can be utilized not only for simple class categorization but also for other tasks. Additionally, when calculating cutter paths for NC lathes for injection molding and forging molds, it automatically identifies bolt hole shapes from the mold model and removes them from the overall shape. [Features] - Uses convolution techniques that minimize the loss of shape features - Allows classification whether focusing on a part of the shape or viewing the overall shape - Can be utilized not only for simple class categorization but also for other tasks *For more details, please refer to the PDF document or feel free to contact us.

  • 3D CAM

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Research and Development: "3D Shape Recognition - New Shape Synthesis"

Research and Development: "3D Shape Recognition - New Shape Synthesis"

Automatically generate new shapes! The vehicle body can also be designed according to the designer's imagination.

"New Shape Synthesis" refers to the automatic generation of new shapes by blending feature vector quantities extracted from a properly trained AI model, similar to similarity judgment, across multiple shapes. A network using a type of deep learning called Variational Autoencoder (VAE) is constructed to create new vehicle body data. Multiple timings are established to add feature representations to the Decoder part of the VAE system, enhancing the generation results. 【Features】 ■ Automatically generates new shapes by blending feature vector quantities extracted from a properly trained AI model across multiple shapes. ■ Constructs a network using the VAE system to create new vehicle body data. ■ The time required for shape synthesis is just a few seconds, allowing designers to explore designs as they come to mind. *For more details, please refer to the PDF document or feel free to contact us.

  • 3D CAM

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Research and Development: "3D Shape Recognition Similarity Judgment"

Research and Development: "3D Shape Recognition Similarity Judgment"

Compare the feature quantities of existing shapes within the database! Use generative models such as VAE and GAN for training.

"Similarity judgment" refers to the process of searching for shapes similar to the input shape from a registered database. Feature quantities of the shape are extracted, and to compare them with the feature quantities of existing shapes in the database, generative models such as VAE and GAN are used for training. In many industries, such as manufacturing and construction, there is a shift towards design based on three-dimensional shapes using 3D CAD. Additionally, computer-aided technologies related to design and manufacturing, known as CAD, CAM, and CAE, are also based on three-dimensional shapes. 【Features】 - Extract feature quantities of shapes and compare them with existing shape feature quantities in the database. - Use generative models such as VAE and GAN for training. - Direct comparison using 3D shape recognition AI. - String comparison using text-based AI. *For more details, please refer to the PDF document or feel free to contact us.

  • 3D CAM

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[Data] Explainable AI (XAI)

[Data] Explainable AI (XAI)

Creating more explainable AI! An explanation of the new initiative "XAI" addressing new challenges.

This document explains 'Explainable AI (XAI)', which has emerged as a new challenge for AI. It covers topics such as "AI challenges," "the purpose of XAI," and "approaches to achieving XAI." The initiative for "XAI" aims to create more explainable AI while maintaining learning performance. 【Contents】 ■ AI challenges ■ Purpose of XAI ■ Relationship between the two objectives of XAI ■ Approaches to achieving XAI ■ Improvement of explainability *For more details, please refer to the PDF document or feel free to contact us.

  • Software (middle, driver, security, etc.)

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Aries Series "3D Matching AI PLM"

Aries Series "3D Matching AI PLM"

Equipped with an AI model capable of 3D matching! Compatible with existing PLM systems you own.

The "3D Matching AI PLM" can perform more accurate shape matching using 3D data, which contains more information than 2D data. If you already have an existing PLM, it is possible to link the matching results with your existing PLM. The AI model capable of 3D matching included in this product uses our patented technology (Patent No. 7190147). 【Features】 ■ Enables more accurate shape matching ■ Equipped with an AI model capable of 3D matching ■ Can link matching results with your existing PLM ■ Recognizes objects using two methods: classification and matching ■ System configuration can be flexibly tailored to customer requirements *For more details, please refer to the PDF materials or feel free to contact us.

  • Data Search Software

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Astraea Software Inc. Company Profile

Astraea Software Inc. Company Profile

Automating the CAE and CAM model creation process! Utilizing AI and deep learning technology in the design field.

Our company is engaged in research and development of 3D shape recognition technology using AI and deep learning, aiming to make better use of 3D CAD data in the manufacturing industry. Based on new AI research results, we have successfully developed a 3D AI model capable of recognizing 3D shape data. Our goal is to integrate CAE, AI, and cloud technology, promoting technological penetration from large corporations to small and medium-sized enterprises. We will advance research and development in 3D AI, contributing to the improvement of QCD not only in the manufacturing industry but also across many other sectors. 【Business Content】 ■ Manufacturing, sales, technical support, and education of technical support software *For more details, please refer to the PDF document or feel free to contact us.

  • 3D CAD

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