scholarly journals Fast Personal Protective Equipment Detection for Real Construction Sites Using Deep Learning Approaches

Sensors ◽  
2021 ◽  
Vol 21 (10) ◽  
pp. 3478
Author(s):  
Zijian Wang ◽  
Yimin Wu ◽  
Lichao Yang ◽  
Arjun Thirunavukarasu ◽  
Colin Evison ◽  
...  
Keyword(s):  
Deep Learning ◽  
Personal Protective Equipment ◽  
Superior Performance ◽  
Protective Equipment ◽  
Detection Accuracy ◽  
Learning Approaches ◽  
The Novel ◽  
Construction Site ◽  
Construction Sites ◽  
Comparison Result

The existing deep learning-based Personal Protective Equipment (PPE) detectors can only detect limited types of PPE and their performance needs to be improved, particularly for their deployment on real construction sites. This paper introduces an approach to train and evaluate eight deep learning detectors, for real application purposes, based on You Only Look Once (YOLO) architectures for six classes, including helmets with four colours, person, and vest. Meanwhile, a dedicated high-quality dataset, CHV, consisting of 1330 images, is constructed by considering real construction site background, different gestures, varied angles and distances, and multi PPE classes. The comparison result among the eight models shows that YOLO v5x has the best mAP (86.55%), and YOLO v5s has the fastest speed (52 FPS) on GPU. The detection accuracy of helmet classes on blurred faces decreases by 7%, while there is no effect on other person and vest classes. And the proposed detectors trained on the CHV dataset have a superior performance compared to other deep learning approaches on the same datasets. The novel multiclass CHV dataset is open for public use.

scholarly journals ASSESSMENT OF THE AWARENESS AND SAFETY PRACTICES IN MITIGATING HAZARDS OF SILICA DUST EXPOSURE AMONG CONSTRUCTION WORKERS

2021 ◽  
Vol 5 (10) ◽  
Author(s):  
Engr. Jeferd E. Saong ◽  
Abigail L. Babaran ◽  
Glenn Dale A. Balaho
Keyword(s):  
Health Effects ◽  
Personal Protective Equipment ◽  
Construction Workers ◽  
Dust Exposure ◽  
Protective Equipment ◽  
Construction Site ◽  
Construction Sites ◽  
Safety Practices ◽  
Silica Dust ◽  
Mode Of Transmission

Construction sites generate high levels of dust typically from concrete, silica, asbestos, cement, wood, stone, and sand. Workers who are exposed to the said environment are faced with the risk of inhaling particulate materials that might lead to adverse respiratory problems. The lack of publication on the awareness of construction workers on the risk associated with silica dust exposure was the basis of the study. This study assessed the level of awareness of construction workers on the risk associated with silica dust exposure and the safety practices to minimize it. Purposive sampling was used in the selection of 65 respondents from different construction sites located in Baguio City, Philippines. A survey questionnaire containing four point Likert scales were used to determine the level of awareness on the health effects, mode of transmission, and sources of silica dust. The study further assessed the level of safety practices in mitigating the effects of silica dust exposure. The respondents were moderately aware (M=2.52) of the health effects, moderately aware (M=2.69) of the mode of transmission, and moderately aware (M=3.08) of the sources of silica dust. The results further showed that the respondents moderately practiced (M=2.84) activities to mitigate the health effects of silica dust exposure and moderately practiced (M=3.17) the use of personal protective equipment in the construction site. The results suggest that construction workers must be made more aware of the health effects of silica dust exposure and, mitigation activities and utilization of personal protective equipment must be strictly imposed in the construction site.

scholarly journals Deep convolutional neural networks for cardiovascular vulnerable plaque detection

2019 ◽  
Vol 277 ◽  
pp. 02024 ◽  
Author(s):  
Lincan Li ◽  
Tong Jia ◽  
Tianqi Meng ◽  
Yizhe Liu
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Convolutional Neural Networks ◽  
Vulnerable Plaque ◽  
Recall Rate ◽  
Superior Performance ◽  
Learning Approaches ◽  
Deep Convolutional Neural Networks ◽  
Vulnerable Plaques ◽  
Plaque Detection

In this paper, an accurate two-stage deep learning method is proposed to detect vulnerable plaques in ultrasonic images of cardiovascular. Firstly, a Fully Convonutional Neural Network (FCN) named U-Net is used to segment the original Intravascular Optical Coherence Tomography (IVOCT) cardiovascular images. We experiment on different threshold values to find the best threshold for removing noise and background in the original images. Secondly, a modified Faster RCNN is adopted to do precise detection. The modified Faster R-CNN utilize six-scale anchors (122,162,322,642,1282,2562) instead of the conventional one scale or three scale approaches. First, we present three problems in cardiovascular vulnerable plaque diagnosis, then we demonstrate how our method solve these problems. The proposed method in this paper apply deep convolutional neural networks to the whole diagnostic procedure. Test results show the Recall rate, Precision rate, IoU (Intersection-over-Union) rate and Total score are 0.94, 0.885, 0.913 and 0.913 respectively, higher than the 1st team of CCCV2017 Cardiovascular OCT Vulnerable Plaque Detection Challenge. AP of the designed Faster RCNN is 83.4%, higher than conventional approaches which use one-scale or three-scale anchors. These results demonstrate the superior performance of our proposed method and the power of deep learning approaches in diagnose cardiovascular vulnerable plaques.

scholarly journals Visitor Restriction Policy on Pediatric Wards During Novel Coronavirus (COVID-19) Outbreak: A Survey Study Across North America

2020 ◽  
Author(s):  
Taito Kitano ◽  
Pierre-Philippe Piché-Renaud ◽  
Helen E Groves ◽  
Laurie Streitenberger ◽  
Renee Freeman ◽  
...  
Keyword(s):  
North America ◽  
Personal Protective Equipment ◽  
Survey Study ◽  
Protective Equipment ◽  
The Novel ◽  
Restriction Policy ◽  
Novel Coronavirus

Abstract Visitor restriction policies in pediatric wards during the novel coronavirus (COVID-19) outbreak are variable. Among 36 hospitals that responded to our survey, 97% allowed at least 1 visitor, with 67% restricting to 1 caregiver. Sixty-nine percent required the visitor to wear personal protective equipment and only 19% allowed non-household visitors.

A Smart System for Personal Protective Equipment Detection in Industrial Environments Based on Deep Learning

2021 ◽  
Author(s):  
Gionatan Gallo ◽  
Francesco Di Rienzo ◽  
Pietro Ducange ◽  
Vincenzo Ferrari ◽  
Alessandro Tognetti ◽  
...  
Keyword(s):  
Deep Learning ◽  
Personal Protective Equipment ◽  
Protective Equipment ◽  
Smart System ◽  
Industrial Environments

scholarly journals Automated Control on Wearing Personal Protective Equipment

2020 ◽  
Vol 5 (3) ◽  
pp. 94-101
Author(s):  
Victor Moraes ◽  
Willames De Albuquerque Soares ◽  
Bianca M. Vasconcelos ◽  
Tomi Zlatar ◽  
Béda Barkokébas Junior
Keyword(s):  
Personal Protective Equipment ◽  
Feasible Solution ◽  
Protective Equipment ◽  
Rfid Technology ◽  
Construction Sites ◽  
Automated Control ◽  
Passive Tags ◽  
Dog Bone ◽  
The Cost ◽  
Traditional Supervision

The cost of world-wide accidents represent ≈4% of global Gross Domestic Product each year, which could be minimized or prevented by using adequate Personal Protective Equipment (PPE). Although wearing adequate PPE are mandatory in a number of occupations where workers are exposed to risks, experience show-us that supervision is necessary to ensuring it. The traditional supervision was proved not to be effective enough, making it necessary to turn on technological solutions. The objective of this work was to investigate if RFID technology is a feasible solution for monitoring the usage of PPE on construction sites, giving suggestions which tags to use and characteristics of RFID portals for field applications. The results of laboratory tests show that four antennas with correct disposition on the RFID portal are enough to ensure readability of the worker when passing through it. While six passive tags were tested, two of them were found to be ideal for this purpose: the Web Lite Wet Inlay with a rubber wrap due to its protective characteristics, and the SmartTrac Dog Bone due to its size. In conclusion, the RFID technology was found to be a feasible solution for automatically control the wearing of PPE on construction sites. There is a need for further research on construction sites.

scholarly journals Decontamination Interventions for the Reuse of Surgical Mask Personal Protective Equipment: A Systematic Review

2020 ◽  
Author(s):  
David J Zorko ◽  
Shira Gertsman ◽  
Katie O'Hearn ◽  
Nicholas Timmerman ◽  
Nasser Ambu-Ali ◽  
...  
Keyword(s):  
Personal Protective Equipment ◽  
Antimicrobial Properties ◽  
Original Research ◽  
Protective Equipment ◽  
The Novel ◽  
Eligibility Criteria ◽  
Surgical Masks ◽  
Study Characteristics ◽  
Novel Coronavirus ◽  
Citation Screening

Background: The high demand for personal protective equipment (PPE) during the novel coronavirus outbreak has created global shortages and prompted the need to develop strategies to conserve supply. Surgical mask PPE have a broad application of use in a pandemic setting, but little is known regarding decontamination interventions to allow for their reuse. Objective: Identify and synthesize data from original published studies evaluating interventions to decontaminate surgical masks for the purpose of reuse. Methods: We searched MEDLINE, Embase, CENTRAL, Global Health, the WHO COVID-19 database, Google Scholar, DisasterLit, preprint servers, and prominent journals from inception to April 8, 2020 for prospective original research on decontamination interventions for surgical mask PPE. Citation screening was conducted independently in duplicate. Study characteristics, interventions, and outcomes were extracted from included studies by two independent reviewers. Outcomes of interest included impact of decontamination interventions on surgical mask performance and germicidal effects. Results: Seven studies met eligibility criteria: one evaluated the effects of heat and chemical decontamination interventions applied after mask use on mask performance, and six evaluated interventions applied prior to mask use to enhance antimicrobial properties and/or mask performance. Mask performance and germicidal effects were both evaluated in heterogenous test conditions across a variety of mask samples (whole masks and pieces or individual mask layers). Safety outcomes were infrequently evaluated. Mask performance was best preserved with dry heat decontamination. Germicidal effects were best in salt-, N-halamine- and nanoparticle-coated masks. Conclusion: There is limited evidence on the safety or efficacy of surgical mask decontamination. Given the heterogenous methods used in the studies to date, we are unable to draw conclusions on the most appropriate, safest intervention(s) for decontaminating surgical masks for the purpose of reuse.

scholarly journals How did the COVID-19 pandemic change the practice of Paediatric Endoscopists in Europe?

2020 ◽  
Author(s):  
Ilektra Athiana ◽  
Corinne Légeret ◽  
Patrick Bontems ◽  
Luigi Dall'Oglio ◽  
Paola De Angelis ◽  
...  
Keyword(s):  
At Risk ◽  
United Kingdom ◽  
European Society ◽  
Personal Protective Equipment ◽  
Protective Equipment ◽  
The Novel ◽  
Endoscopic Procedures ◽  
Viral Spread ◽  
Novel Coronavirus ◽  
Time Point

Abstract Background: As endoscopists are at risk to get infected by the novel Coronavirus SARS-CoV-2 during endoscopic procedures, the European Society for Paediatric Gastroenterology, Hepatology and Nutrition (ESPGHAN) published recommendations regarding protection for the paediatric endoscopist and endoscopy suite staff. The aim of this survey was to investigate whether European paediatric gastroenterology centres applied the recommendations and how this extraordinary situation was handled by the different centres.Results: Twelve Paediatric European gastroenterology centers (from Belgium, Greece, Italy, Portugal, Slovenia, Spain, Switzerland, and United Kingdom) participated. Nine centres (75%) screened their patients for a possible COVID-19 infection before the procedure, the same amount of hospitals changed their practice based on the ESPGHAN recommendations. 67% of the centres reduced the staff in the endoscopy suite, 83% of the units used FFP2/3 masks and protective goggles during the procedure and 75% wore waterproof gowns.Conclusion: The global situation caused by COVID-19 changed so rapidly, and hospitals had to react immediately to protect staff and patients and could not wait for guidelines to be published. Furthermore, uniform guidelines could not be applied by all European hospitals at a certain time point of the viral spread, as different regions of Europe were not only affected differently by COVID-19, but also had different access to personal protective equipment.

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