%0 Journal Article %A ZHANG Liyi %A WU Wenhong %A NIU Hengmao %A SHI Bao %A DUAN Kaibo %A SU Chenyang %T Summary of Application Research on Helmet Detection Algorithm Based on Deep Learning %D 2022 %R 10.3778/j.issn.1002-8331.2203-0580 %J Computer Engineering and Applications %P 1-17 %V 58 %N 16 %X Safety helmet is the most common and practical personal protective tool on the construction site, which can effectively prevent and reduce head injury caused by accidents. Helmet detection is the main work of personnel safety management on the construction site, and it is also an important content of intelligent monitoring technology on the construction site. With the development of deep learning, it has become an important part of smart site construction. In order to comprehensively analyze the research status of deep learning in helmet detection, aiming at the research of helmet detection algorithm, the commonly used helmet detection algorithm and helmet detection algorithm based on deep learning are summarized, and their advantages and disadvantages are explained in detail. On this basis, aiming at the existing problems, this paper systematically summarizes and analyzes the relevant improvement methods of helmet detection algorithm, and combs the characteristics, advantages and limitations of various methods. Finally, the future development direction of helmet detection algorithm based on deep learning is prospected. %U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2203-0580