IOT-Oriented Visual Target Tracking and Supply Chain Art Product Design

Visual target tracking technology has always been one of the hotspots in field computer vision. After analyzing above two problems and introducing real-time tracking, this article makes corresponding improvements to visual structure Internet Things. Based on point, finally brings together related theories such as Things supply chain, starting from practical problems, inspecting current situation chain Chinese art product design companies, proposing necessity establishing a systemic risk indicator system use chain; uses HHM method identify factors artwork environment promotes multiangle analysis tailored its own characteristics chain. According controllable risks uncontrollable risks, combined with structural level system, are divided into detection layer, network layer (information layer), application risk, other risks. This combines above-mentioned relationship between chains, G1 entropy weight determine indicators for subject purpose weight, classifies propose control measures.