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  6. CG generation for defect classification (teacher images for machine learning)

CG generation for defect classification (teacher images for machine learning)

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BENZaiTEN - CG generation for defect judgment

last updated:Jul 12, 2021

シリコンスタジオ
シリコンスタジオ
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We will generate defective images such as scratches, bruises, and cracks that can be used as training data.

In the field of manufacturing, high-speed automation of visual inspection using image sensors is advancing. On the other hand, the images that serve as training data for defect extraction require many different patterns, and optimal settings for cameras, lenses, and lighting tailored to the target are also essential, leading to numerous challenges. In response to customer inquiries about whether "3DCG can solve this," our company offers a solution for generating defective images for defect judgment (training images for machine learning) that creates various defective images such as scratches and missing parts. The types and application methods of defects, such as scratches, dents, and cracks, can be freely set using parameters. Additionally, the settings for the light source can be customized in terms of quantity, color, irradiation range, and angle, making it possible to closely resemble real environments. We anticipate responding to the detection of various abnormalities in a wide range of inspections. If you have any challenges regarding diverse images of scratches and defects, please feel free to contact us.

    Visual Inspection EquipmentDefect Inspection EquipmentOther services
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CG generation for defect classification (teacher images for machine learning)

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  • Related Link - https://www.siliconstudio.co.jp/products-service/a…

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● Any material can be set Materials that can be scratched can be freely configured. For example, by replacing textures such as ceramic, metal hairline finish / satin finish, it can accommodate any material. By creating textures and shapes, it can also handle complex materials like silicon wafers. ● Types and methods of scratches are completely customizable By freely setting parameters, it generates all shapes of scratches in terms of size, length, depth, position, angle, etc. In addition to basic patterns like scratches, dents, and cracks, anything that can be represented in 3D can be customized. It also supports product image representations such as bottles and smartphone cases. ● More realistic with light source settings Since all materials and scratches are represented in 3D shapes, they are reproduced with the correct appearance relative to the light source. By customizing the number, color, irradiation range, angle, etc., of the light source settings, it can closely resemble real environments. ● High-speed generation of tens of thousands of training data With automatic labeling and random output functions, it is possible to generate thousands of images per hour in one step.

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Appearance inspection

Detailed information

  • defect01.png

    Any material can be set. Materials that can cause scratches can be freely configured. For example, by replacing textures such as ceramic, metal hairline finish, or satin finish, it can accommodate any material. By creating textures and shapes, it can also handle complex materials like silicon wafers.

  • defect02.png

    Types of wounds, methods of infliction, and shapes are completely customizable. By freely setting parameters, you can generate all kinds of wound shapes, including size, length, depth, position, and angle. In addition to basic patterns like scratches, dents, and cracks, anything that can be represented in 3D can be customized. It also accommodates product image representations such as bottles and smartphone cases.

  • defect.gif

    High-speed generation of tens of thousands of teacher data. With automatic labeling and random output functions, it is possible to generate thousands of images per hour in one step.

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Defect Image Generator for Appearance Inspection Using Machine Learning

Defect Image Generator for Appearance Inspection Using Machine Learning

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Utilizing 3DCG, which should be a focus in all manufacturing, to simultaneously achieve cost reduction and speed enhancement.

Utilizing 3DCG, which should be a focus in all manufacturing, to simultaneously achieve cost reduction and speed enhancement.

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シリコンスタジオ

シリコンスタジオ

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At Silicon Studio, we have developed various middleware in-house and have been engaged in CG-related businesses from the dawn of CG to the present day, continuously honing our technical skills, expressive capabilities, and creativity. Our strength lies in possessing these three abilities. We provide cutting-edge real-time CG technology to companies in the gaming and film industries, as well as consumer game development technology to game development companies. Additionally, we offer solutions for the manufacturing industry utilizing advanced real-time 3DCG technology cultivated in the video game industry, develop middleware for embedded devices, engage in R&D with universities and research institutions, and provide design, construction, and operational services for large-scale networks and web applications. Idea (Creativity): The ability to interpret the challenges and needs of clients and propose optimal solutions using 3D graphics-related technologies. Art (Expressiveness): The ability to create highly attractive and high-quality content using cutting-edge 3D graphics technology within the limited conditions of the anticipated usage environment. Technology (Technical Skills): The ability to develop and construct systems that achieve high-quality graphics representation along with convenience and operational efficiency at a high level.

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