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
- Company：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
- Price：Other
