DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry

Awalgaonkar, Nimish M.; Zheng, Haining; Gurciullo, Christopher S.

doi:10.48550/arxiv.2003.01196

Cited by 1 publication

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“…In this regard, more research is necessary for developing image-based safety management systems using cameras. Similarly, such research is being conducted based on images collected from CCTV cameras installed at construction sites to prevent accidents involving construction workers [ 7 , 8 , 9 ]. In particular, object recognition technology is widely used for the safety management and security of workers at a construction site.…”

Section: Introductionmentioning

confidence: 99%

Construction Site Safety Management: A Computer Vision and Deep Learning Approach

Lee

2023

Sensors

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In this study, we used image recognition technology to explore different ways to improve the safety of construction workers. Three object recognition scenarios were designed for safety at a construction site, and a corresponding object recognition model was developed for each scenario. The first object recognition model checks whether there are construction workers at the site. The second object recognition model assesses the risk of falling (falling off a structure or falling down) when working at an elevated position. The third object recognition model determines whether the workers are appropriately wearing safety helmets and vests. These three models were newly created using the image data collected from the construction sites and synthetic image data collected from the virtual environment based on transfer learning. In particular, we verified an artificial intelligence model based on a virtual environment in this study. Thus, simulating and performing tests on worker falls and fall injuries, which are difficult to re-enact by humans, are efficient algorithm verification methods. The verification and synthesis data acquisition method based on a virtual environment is one of the main contributions of this study. This paper describes the overall application development approach, including the structure and method used to collect the construction site image data, structure of the training image dataset, image dataset augmentation method, and the artificial intelligence backbone model applied for transfer learning.

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Section: Introductionmentioning

confidence: 99%

Construction Site Safety Management: A Computer Vision and Deep Learning Approach

Lee

2023

Sensors

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DEEVA: A Deep Learning and IoT Based Computer Vision System to Address Safety and Security of Production Sites in Energy Industry

Cited by 1 publication

References 0 publications

Construction Site Safety Management: A Computer Vision and Deep Learning Approach

Construction Site Safety Management: A Computer Vision and Deep Learning Approach

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