Detection Method of Helmet Wearing Based on UAV Images and Yolov7

Author:

Bian Hongzhi1,Liu Yuzheng1,Shi Lei2,Lin Zhihe1,Huang Mingxiang1,Zhang Jianxun1,Weng Guokai1,Zhang Chuanlei2,Gao Ming3

Affiliation:

1. State Grid Fujian Electric Power Co., LTD,Construction Branch,Fujian,China

2. Tianjin University Of Science And Technology,College Of Artificial Intelligence,Tianjin,China

3. Yunsheng Intelligent Technology Co., Ltd,Tianjin,China

Funder

Science and Technology Project of State Grid

Publisher

IEEE

Reference33 articles.

1. Design and implementation of vision based safety detection algorithm for personnel in construction site [J];fu;DEStech Transactions on Engineering and Technology Research,2018

2. Safety helmet wearing detection study based on improved Faster RCNN[J/OL];shoukun;Application Research of Computers,2020

3. Detecting non-hardhat-use by a deep learning method from far-field surveillance videos

4. DESIGH AND IMPLEMENTATION OF DETECTION SYSTEM OF WEARING HELMETS BASED ON DEEP LEARNING[D];fan,2019

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1. YOLO-ADual: A Lightweight Traffic Sign Detection Model for a Mobile Driving System;World Electric Vehicle Journal;2024-07-21

2. Automatic Correction Method of Industrial Instrument Images Based on YOLOv8 Keypoint Detection and Perspective Transformation;Lecture Notes in Computer Science;2024

3. A Comparison of YOLOv4-Tiny and YOLOv7 Models for Pedestrian Detection;2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP);2023-11-21

4. Pointer Meter Recognition Method Based on Yolov7 and Hough Transform;Applied Sciences;2023-07-28

5. Safety Helmet Detection Using YOLO V8;2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN);2023-06

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