Open AccessAn Algorithm for Detecting the Integrity of Outer Frame Protection Net on Construction Site Based on Improved SSD
Author(s) -
Yu Fan,
Xianqiao Chen,
Jinguang Xie,
Zhenjie Fu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1827/1/012168
Subject(s) - computer science , frame (networking) , feature (linguistics) , field (mathematics) , net (polyhedron) , task (project management) , algorithm , layer (electronics) , real time computing , data mining , engineering , computer network , systems engineering , philosophy , linguistics , chemistry , geometry , mathematics , organic chemistry , pure mathematics
In recent years, the continuous development of the basic construction industry has promoted the progress of urban social economy, and the safety issues in construction have attracted more and more attention. The integrity of the external protection net is of great significance to the safety of the construction personnel. Most of the traditional methods of detecting damage to the protection net have problems such as poor real-time performance and low detection accuracy. In this paper, we present a novel approach based on SSD for solving the problem of the integrity detection of the external frame protection net in the construction site. The improved network merges adjacent feature layers to enrich the semantics of shallow feature maps, thereby improving the detection accuracy of the network, and simultaneously introduces a shallower feature layer and a more advanced receptive field module to improve the detection ability of small targets. The experimental results show that compared with the SSD algorithm, the improved algorithm has higher detection accuracy in the detection task of the external protective net on the construction site, and can meet the real-time detection requirements.