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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Introducing Edge AI development examples in video What Edge AI can do Motion detection It identifies people and objects and obtains location information. Applications include detecting the movement paths of factory workers and providing warnings when approaching dangerous areas. State recognition It judges shapes and appearances from images. This enables shape judgment during product assembly and assessing the degree of cooking in food manufacturing processes. Classification and identification It classifies and identifies people and objects. This includes classification based on shapes and colors learned from images, as well as trend analysis using the results for parts and boxes. We are developing a demo of Edge AI based on this technology. ■ For inquiries Marble Inc. Embedded Product Division, Product Business Department Phone: (03) 3419-6011
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Edge AI Development Case: Hazard Area Detection through Triangle Cone Recognition
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