A smart monitoring method for electric power construction site area based on target correlation

Abstract

In view of electric power construction site with low level of informationization， lack of intelligent management， and small supervision areas， the paper proposes a smart monitoring method for electric power construction site areas based on target correlation method. Given the cumbersome positioning process of the targets to be measured （person， car） in the existing method and the inability to fully utilize the environment-related information， the correlation fusion module is introduced to improve the information utilization rate of the relative position of the targets to be tested. Multi-target positioning is carried out using the same network model to reduce the complexity of positioning and improve positioning efficiency. Experiments are carried out using real images of the construction site. The results show that the detection accuracy of the proposed method for the target to be measured in the construction site area is up to 99.2%， which is of high engineering application value.

Keywords

• smart construction site
• area monitoring
• target correlation
• deep learning