Issue of not wearing a safety helmet at the construction site
Best insight from top research papers
The issue of not wearing a safety helmet at the construction site is a significant concern due to the high incidence of safety accidents. Several papers propose methods to detect whether construction workers are wearing safety helmets. One approach is to use a pixel-level visual background extraction moving target detection algorithm, which has shown promising results in recognizing the helmet-wearing status of substation workers . Another method involves an improved SSD algorithm that utilizes Feature Fusion Modules to enhance the algorithm's ability to detect small- and medium-scale targets, resulting in better detection performance . Additionally, a helmet wearing detection approach based on YOLOv5 has been proposed, which demonstrates high precision and recall rates, as well as the capability to distinguish between different categories of safety helmets . These methods aim to improve the efficiency and effectiveness of helmet-wearing detection, ultimately reducing safety accidents at construction sites.
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| Papers (5) | Insight |
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18 Nov 2022 | The paper proposes a safety helmet detection method to address the issue of construction workers not wearing safety helmets at construction sites. |
18 Nov 2022 | The paper proposes a safety helmet detection method to address the issue of construction workers not wearing safety helmets at construction sites. |
03 Aug 2022 | The paper addresses the issue of not wearing safety helmets at construction sites by proposing an automatic detection approach based on YOLOv5. |
28 Apr 2023 | The paper discusses the issue of not wearing safety helmets at substations, which has led to frequent production safety incidents. |
28 Apr 2023 | The paper discusses the issue of not wearing safety helmets at substations, which has led to frequent production safety incidents. |
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