Enhanced Tool Detection in Industry 4.0 via Deep Learning-Augmented Human Intent Recognition: Introducing the Industry-RetinaNet Model
Yaqiao Zhu,
Zhiwu Shang,
Jin Wu
Abstract:In the context of Industry 4.0, a transformative shift in industrial manufacturing, product enhancement, and distribution methods has been observed, emphasizing the critical need for precise recognition of human intention to ensure operational reliability, safety, and efficiency. Central to this recognition, especially in equipment manufacturing, is the accurate identification of tools manipulated by human operators. In this study, a novel object detection model, referred to as 'Industry-RetinaNet', has been p… Show more
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