マーブル　 Product Lineup

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

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

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

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

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

In the automotive industry, there is a demand for increased efficiency in production lines and flexible responses. In particular, optimizing parts supply is essential for improving productivity. Traditional fixed conveyor systems have faced challenges due to the time and costs associated with responding to line changes. The AGV unmanned automated guided vehicle Σone100 flexibly adapts to changes in factory layout and achieves efficiency in parts supply. 【Usage Scenarios】 - Parts transportation in automotive parts factories - Parts supply to assembly lines - Transportation of finished products 【Benefits of Implementation】 - Rapid response to line changes - Improved work efficiency - Reduction in labor costs

In the electronics industry, there is a demand for improved production efficiency and flexible line changes. In substrate supply, a transport system that can quickly respond to changes in component supply locations and the rearrangement of work robots is essential. Traditional fixed transport systems pose challenges due to the time and costs associated with these changes. The AGV unmanned automated transport vehicle Σone100 flexibly adapts to changes in factory layout and achieves automation of substrate supply. 【Usage Scenarios】 - Supply of components to substrate manufacturing lines - Transport of completed substrates - Supply of components to robots 【Benefits of Implementation】 - Rapid response to line changes - Improved production efficiency - Reduction in labor costs