An Edge-Controlled Outdoor Autonomous UAV for Colorwise Safety Helmet Detection and Counting of Workers in Construction Sites

Susanta Sharma, Allumallu Veera Venkata Susmitha, Lan Da Van, Yu Chee Tseng

研究成果: Conference contribution同行評審

4 引文 斯高帕斯(Scopus)

摘要

In this paper, an edge-computed and controlled outdoor autonomous UA V system is proposed to monitor the safety helmet wearing of workers in construction sites. Detection and counting of the workers with safety helmets of specified colors and those without safety helmets is the main focus of this work. Five standard safety helmet colors including blue, orange, red, white, and yellow are considered. The novelties of the work are 1) the design of a modularized software architecture running on an Android smartphone as an edge device for outdoor autonomous UA V navigation, 2) the implementation of realtime colorwise detection and counting of workers with and without safety helmets from UAV's first-person view (FPV), 3) the implementation of a simple upper-side cropping and hue, saturation, value (HSV) filtering method for color decision. The resulting average safety helmet detection accuracy for 10 different cases is 81.02%.

原文English
主出版物標題2021 IEEE 94th Vehicular Technology Conference, VTC 2021-Fall - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781665413688
DOIs
出版狀態Published - 2021
事件94th IEEE Vehicular Technology Conference, VTC 2021-Fall - Virtual, Online, United States
持續時間: 27 9月 202130 9月 2021

出版系列

名字IEEE Vehicular Technology Conference
2021-September
ISSN(列印)1550-2252

Conference

Conference94th IEEE Vehicular Technology Conference, VTC 2021-Fall
國家/地區United States
城市Virtual, Online
期間27/09/2130/09/21

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