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  3. マーブル  エンベデッドプロダクト事業本部 プロダクト事業部
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マーブル  エンベデッドプロダクト事業本部 プロダクト事業部

EstablishmentSeptember 9, 1974
capital10000Ten thousand
number of employees8700
addressTokyo/Setagaya-ku/3-1-3 Ikejiri, MUTOH Ikejiri Building
phone03-3419-6011
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last updated:Aug 30, 2025
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Quality Management DX - Inspection Report Quality Management DX - Inspection Report
Contract development, CAD customization, digitalization services Contract development, CAD customization, digitalization services
3D CAD 3D CAD
2D CAD 2D CAD
CAM and peripheral equipment for machine tools CAM and peripheral equipment for machine tools
Drawing management and manual creation Drawing management and manual creation
Structural analysis, structural calculation, technical calculation software Structural analysis, structural calculation, technical calculation software
Resin flow analysis Resin flow analysis
Seismic isolation system and environmental measures Seismic isolation system and environmental measures
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AGV / Edge AI AGV / Edge AI
3D printer and education-related 3D printer and education-related
AGV

AGV / Edge AI

Initiatives for Edge AI: Introducing AGV-related topics Specialized engineers are available! What is Edge AI? AI processing is done at the location where the data is (the edge).

AI processing with edge computing - Edge AI

First, please consult with us! Our specialized engineers in edge AI will assist you!

What is Edge AI? It processes AI tasks using the cloud at the location where the data is (the edge). Benefits of Edge AI: 1. Low cost 2. Real-time processing 3. High safety 4. Process optimization Feel free to contact us. Marble Inc. Embedded Product Division, Product Business Department Phone: (03) 3419-6011

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Automated Body Temperature Measurement: Case Study of Edge AI Development in Video

Non-contact body temperature measurement system using edge AI-based skeletal recognition (POSE) technology.

This is a non-contact body temperature measurement system using a thermosensor and POSE. The hardware of this system is configured by serially connecting a thermosensor to a Raspberry Pi system. The thermosensor uses a thermographic camera module. It can detect infrared and measure the temperature at a distance. To enable automatic measurement from the perspective of infection prevention, POSE is used to determine whether the face is in front of the thermosensor. In the demo video, a disposable heat pack is used to confirm operation in the case of elevated body temperature. ■ For inquiries Marble Inc. Embedded Product Division, Product Business Department Phone: (03) 3419-6011

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Detection of Hazardous Areas Using Triangle Cone Recognition: A Case Study of Edge AI Development in Video

Fusion of skeletal recognition (POSE) technology and object recognition technology.

We developed a more flexible danger area detection system by combining object identification in images using deep learning with the aforementioned POSE. In object identification, we can pre-learn triangular cones and identify them within images. In this demo, the "red triangular cone" is considered a danger area, and when a person recognized by POSE approaches the red triangular cone, a warning is displayed on the screen. During the demo video, a red triangular cone will be added. Please note how an area that was previously safe is recognized as a danger area. ■ For inquiries Marble Inc. Embedded Product Division Product Department Phone: (03) 3419-6011

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Pose Estimation POSE Edition: Case Studies of Edge AI Development in Videos

Development of edge AI utilizing popular skeletal recognition (POSE) technology in deep learning.

One common example of AI applications is human pose estimation, known as POSE. It infers the joint positions of people in images in real-time and displays their positions in frames. This technology is versatile and can be used for both videos and still images. ■ For inquiries Marble Inc. Embedded Products Division, Product Business Department Phone: (03) 3419-6011

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Danger Zone Assessment: Case Study of Edge AI Development in Video

Danger area determination using pose (human skeletal recognition) technology based on deep learning.

This is a danger area determination system that utilizes pose recognition technology (human skeletal authentication) through deep learning. It estimates a person's position from images captured by a camera and triggers an alarm when they approach a pre-set danger area. The POSE technology can only make determinations in a plane (2D), but by also using depth estimation technology through deep learning, it has enabled determinations in three dimensions (3D). It compares the pre-set danger area with the position of a person's chest in real-time, changing the chest marker from green to red in the case of a danger area. While the area outside the door is designated as a danger zone, it is also possible to specify a certain depth, such as only when passing through the door. ■ For inquiries Marble Inc. Embedded Product Division, Product Business Department Phone: (03) 3419-6011

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