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1/2/2018, · The ,detection, of whether wearing ,safety helmets, or not for perambulatory workers is the key component of overall intelligent surveillance system in power substation. In this paper, a novel and practical ,safety helmet detection, framework based on computer vision, machine learning and image processing is proposed.
Shrestha et al. developed a framework for construction ,safety, visualization and developed and tested an edge ,detection, algorithm. The framework included the installation of a set of CCTV cameras, a powerful server at the site office, and equipment to send warning messages to ,safety,-related personnel once the program detected workers not wearing hard hats in the construction sites.
Safety, is of predominant value for employees who are working in an industrial and construction environment. Real time Object ,detection, is an important technique to detect violations ,of safety, compliance in an industrial setup. The negligence in
tional measures ,of safety helmet detection, are commonly sensor-basedandmachine-based, thuslimitedbyproblems such as sensor failure over long distances, the manual and subjectivefeatureschoice,andthechaoticsceneinterference. Based on theprevious …
Smart ,Helmet, for ,Safety, and Accident ,Detection, using IOT Akshatha1, Anitha2, Anusha3, Prema4, Rumana Anjum5 1,2,3,4 B.E IV year, Department of CSE, Vidya Vikas Institute of Engineering & Technology, Mysuru, Karnataka, India 5 Assistant Professor, Dept. of CSE, Vidya Vikas Institute of Engineering & Technology, Mysuru, Karnataka, India
Abstract: ,Helmet, wearing is very important to the ,safety, of workers at construction sites and factories. How to warn/identify/certify workers “whether or not the ,helmet, is worn” is often a difficult point for enterprises to monitor. Based on the YOLO V3 full-regression deep neural network architecture, this paper utilizes the advantage of Densenet in model parameters and technical cost to ...
In many scenarios, such as power station, the ,detection, of whether wearing ,safety helmets, or not for perambulatory workers is very essential for the ,safety, issue. So far, research in ,safety helmets, wearing ,detection, mainly focused on hand-crafted features, such as color or shape. With rising success of deep learning, accurately detecting objects by training the deep convolutional neural ...