Edge Deep Learning and Computer Vision-Based Physical Distance and Face Mask Detection System Using Jetson Xavior NX

This paper proposes a fully automated vision-based system for real-time COVID-19 personal protective equipment detection and monitoring. Through this paper, we aim to enhance the capability of on-edge real-time face mask detection as well as improve social distancing monitoring from real-live digital videos. Using deep neural networks, researchers have developed a state-of-the-art object detector called "You Only Look Once Version Five" (YOLO5). On real images of people wearing COVID19 masks collected from Google Dataset Search, YOLOv5s, the smallest variant of the object detection model, is trained and implemented. It was found that the Yolov5s model is capable of extracting rich features from images and detecting the face mask with a high precision of better than 0.88 mAP_0.5. This model is combined with the Density-Based Spatial Clustering of Applications with Noise method in order to detect patterns in the data to monitor social distances between people. The system is programmed in Python and implemented on the NVIDIA Jetson Xavier board. It achieved a speed of more than 12 frames per second. Doi: 10.28991/ESJ-2023-SPER-05 Full Text: PD

Improving the Health and Safety of Manufacturing Workers by Detecting and Addressing Personal Protective Equipment (PPE) Violations in Real-Time with the Use of Automated PPE Detection Technology

The Centers for Disease Control and Prevention (CDC) emphasized that Personal Protective Equipment (PPE) can significantly reduce the risk of occupational injuries and illnesses. However, improper use, failure to use, and other PPE-related violations can still result in injuries and fatalities. Eye and face protection violation has been one of the top 10 most frequently violated OSHA standards in fiscal years 2018, 2019, 2020, 2021 and 2022 consecutively. A common practice among safety professionals to ensure PPE compliance has been to physically inspect or monitor PPE usage among workers, which has been found to be unsustainable on a continuous real-time basis. While there have been efforts to investigate and recommend solutions to PPE non-compliance over the years, little effort has been made to the concept of continuous real-time PPE compliance monitoring among manufacturing workers. This dissertation focuses on the use of automated PPE compliance monitoring systems in a manufacturing setting. The traditional method of PPE compliance monitoring, relying on human observation and review of recorded videos, is prone to human errors and limitations. This study aims to investigate the effectiveness of an automated system used in detecting PPE violations in real-time, and to evaluate its scope and limitations under various normal working conditions. Three major hypotheses were proposed, including the impact of worker training or experience on PPE compliance, and a comparison between an automated PPE detection technology (driven by Artificial Intelligence) and video recording with human reviews. The objective of this study is to provide insights into the effectiveness of an automated PPE compliance monitoring system when compared to traditional PPE monitoring system which relies on human reviews of video recordings, and to inform the development of policies and systems to improve PPE compliance in real-time which can reduce injuries in the manufacturing industry. The findings of this study can contribute to the improvement of workplace safety and health in the manufacturing industry

Tracking Chart 2009 adidas Group, China

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.FLA_2009TrackingChart_adidasGroupChina.pdf: 51 downloads, before Oct. 1, 2020

Tracking Chart 2009 Hanesbrands, China

Outlines the specific problems that were found by monitors and the action taken by the Hanesbrand Company in response to an FLA audit of a factory in China

Tracking Chart 2009 Puma, China

Outlines the specific problems that were found by monitors and the action taken by Puma in response to an FLA audit of a factory in China

An investigation into current production challenges facing the Libyan cement industry and the need for innovative Total Productive Maintenance (TPM) strategy

Purpose - The purpose of this paper is to investigate maintenance and production problems in the cement industry in Libya with particular emphasis on future implementation of Total Productive Maintenance (TPM). Methodology/ Approach - The paper presents the use of case study approach of production data and history, field visits, a survey methodology using a detailed questionnaire with employees and interviews with top and middle managers in four cement factories. Findings - It has been found that the four factories under investigation have low productivity and production levels when compared with the design values. There is no clear TPM strategy and it has been also found that the lack of training and personal development is the main cause of this problem. In addition, employees are found not to be motivated as a result of the lack of poor management strategy and reward structure. Implications - Based on the findings, a new framework for TPM has been developed. This TPM strategy could be implemented in other Libyan factories as a result of the potential similarities in the cultural and environmental aspects. Practical implications - The current challenges have been identified and comparative analysis is developed into a model for the implementation of TPM. Originality/Value of pape r- The paper highlights limitation is the cement factories in Libya in relation to TPM and production strategies. The importance of adopting a realistic strategy and framework by managers is discussed. This work is developed as collaboration between Academia and Libyan Cement industry for solving productivity problems and develop a strategic framework of TPM for improving the Libyan industry

Tracking Chart 2005 Adidas Group, Indonesia 01023369D

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.FLA_2005_AdidasGroup_TC_Indonesia_01023369D.pdf: 45 downloads, before Oct. 1, 2020

Tracking Chart 2005 Nike, Indonesia 01023369D

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.FLA_2005_Nike_TC_Indonesia_01023369D.pdf: 15 downloads, before Oct. 1, 2020

Tracking Chart 2009 New Era Cap Co., Inc., China

This document is part of a digital collection provided by the Martin P. Catherwood Library, ILR School, Cornell University, pertaining to the effects of globalization on the workplace worldwide. Special emphasis is placed on labor rights, working conditions, labor market changes, and union organizing.FLA_2009TrackingChart_NewEraCapCo_China.pdf: 26 downloads, before Oct. 1, 2020

Flexible dual-diversity wearable wireless node integrated on a dual-polarised textile patch antenna

A new textile wearable wireless node, for operation in the 2.45 GHz industrial, scientific and medical (ISM) band, is proposed. It consists of a dual-polarised textile patch antenna with integrated microcontroller, sensor, memory and transceiver with receive diversity. Integrated into a garment, the flexible unit may serve for fall detection, as well as for patient or rescue-worker monitoring. Fragile and lossy interconnections are eliminated. They are replaced by very short radiofrequency signal paths in the antenna feed plane, reducing electromagnetic compatibility and signal integrity problems. The compact and flexible module combines sensing and wireless channel monitoring functionality with reliable and energy-efficient off-body wireless communication capability, by fully exploiting dual polarisation diversity. By integrating a battery, a fully autonomous and flexible system is obtained. This novel textile wireless node was validated, both in flat and bent state, in the anechoic chamber, assessing the characteristics of the integrated system in free-space conditions. Moreover, its performance was verified in various real-world conditions, integrated into a firefighter garment, and used as an autonomous body-centric measurement device