scholarly journals Risk Factor Recognition for Automatic Safety Management in Construction Sites Using Fast Deep Convolutional Neural Networks

2022 ◽  
Vol 12 (2) ◽  
pp. 694
Author(s):  
Jeongeun Park ◽  
Hyunjae Lee ◽  
Ha Young Kim
Keyword(s):  
Risk Factor ◽  
Human Resources ◽  
High Performance ◽  
Safety Management ◽  
Industrial Accidents ◽  
Construction Sites ◽  
Deep Convolutional Neural Networks ◽  
Construction Companies ◽  
Human Risk ◽  
Result Analysis

Many industrial accidents occur at construction sites. Several countries are instating safety management measures to reduce industrial accidents at construction sites. However, there are few technical measures relevant to this task, and there are safety blind spots related to differences in human resources’ capabilities. We propose a deep convolutional neural network that automatically recognizes possible material and human risk factors in the field regardless of individual management capabilities. The most suitable learning method and model for this study’s task and environment were experimentally identified, and visualization was performed to increase the interpretability of the model’s prediction results. The fine-tuned Safety-MobileNet model showed a high performance of 99.79% (30 ms), demonstrating its high potential to be applied in actual construction sites. In addition, via visualization, the cause of the model’s confusion of classes could be found in a dataset that the model did not predict correctly, and insights for result analysis could be presented. The material and human risk factor recognition model presented in this study can contribute to solving various practical problems, such as the absence of accident prevention systems, the limitations of human resources for safety management, and the difficulties in applying safety management systems to small construction companies.

scholarly journals DANGEROUS ACTIONS WHILE INSTALLING BUILDING CONSTRUCTIONS AND MEANS TO DECREASE THEIR UNDESIRABLE INFLUENCE

2009 ◽  
Vol 1 (2) ◽  
pp. 111-121 ◽  
Author(s):  
Titas Dėjus
Keyword(s):  
Safety Management ◽  
Work Conditions ◽  
Construction Work ◽  
Work Safety ◽  
Construction Sites ◽  
Technological Processes ◽  
Construction Companies ◽  
Safety Assurance ◽  
Safe Work ◽  
Assurance Scheme

Construction business is quite specific, that is why work safety management in construction companies is very specific too. Work safety management in construction companies and sites is difficult and much more complicated than in companies of other businesses. Analysis of work safety management systems in construction companies can be very diverse. It depends on the work quality and technological processes in construction sites (from the preparation for construction work to different extra processes). Because of the specific features of building, like its dynamic or diversity, it is very difficult to ensure safe work conditions constructing using traditional methods and especially new methods, processes, and technologies. There is practically always a risk of having an accident at work (while installing reinforced concrete, wooden or metal constructions or doing other construction technological processes) because it is almost inconceivable to decrease its possibility to the least level. Work safety in this article is analyzed in the light of dangerous actions doing installation or other construction work. There is also made a survey of scientific literature about dangerous actions and of experience of Lithuanian Work Inspection at construction sites, and report on observation of exact construction sites picking out the most dangerous factors, the most important of which is labors’ falling down from height. In the article there are data (about influence of dangerous actions on construction process) analyzed and systemized. All of them were picked out during forensic examination of work safety Summarizing made researches the author advises to use such preventions: it is advisable to pay attention not to all possible dangerous factors, but only to three of them – falling down from height, objects falling down on labors, and injuries made by working mechanisms. The author advises to use work safety assurance scheme (3rd picture) and while preparing technological projects to use 3S principle (principle of three schemes).

scholarly journals Assessement of Safety Management for Public Construction Sites in Nigeria

2019 ◽  
Vol 9 (1) ◽  
pp. 4213-4217
Keyword(s):  
Mission Statement ◽  
Safety Management ◽  
Research Approach ◽  
Construction Sites ◽  
Construction Firms ◽  
Construction Companies ◽  
Front End ◽  
Order Of Magnitude ◽  
Approach Method ◽  
Public Construction

The study investigates the attitude of construction firms operating within Kano metropolis towards safety provision for workers on site. In achieving these objectives Investigatory Survey Research Approach Method (ISRAM) was adopted and used in order to obtain quantitative and qualitative data. Questionnaires were distributed to various construction companies within Kano metropolis, the totals of eighty (80) copies were distributed and fifty eight (58) copies were retrieved. Data collected were found suitable. And were analyzed using Software statistical package (SPSS). From the analysis the result revealed that there is negligence in the attitude of construction companies towards safety and stricter regulations have to been forced. Dissemination of information on safety techniques would reduce accident on site and increase the worker’s moral for better performance in turns to reducing overrun cost. Ineffectiveness of government policy on safety measure especially in construction work was found to have contributed to low productivity by workers on site, since they don’t have access to any claim even when accident occurred on sites. Archaeologists have discovered thousands of bodies buried in the foundation of the wall. Bodies were also used to make up the wall’s thickness. It has been estimated that millions of workers lost their lives due to accident, intense physical labor, starvation and disease. This is in order of magnitude of life per meter of wall length. Therefore, safety in mission statement of large construction firms or companies is not common (Amaechi, 1990). Execution is supported by correlation; some of these correlations were by organizations such as Independent Project Analysis (IPA). It has been statistically proven that there is correlation between good front end loading and safety performance of good front end loading.

Integrating Safety-II into Safety Management

2021 ◽  
Author(s):  
Toni Wäfler ◽  
Rahel Gugerli ◽  
Giulio Nisoli
Keyword(s):  
Risk Factor ◽  
Safety Factor ◽  
Safety Management ◽  
Management Systems ◽  
Safety Management Systems ◽  
Safety Science ◽  
Human Failure ◽  
The Given ◽  
Freedom Of Action

We all aim for safe processes. However, providing safety is a complex endeavour. What is it that makes a process safe? And what is the contribution of humans? It is very common to consider humans a risk factor prone to errors. Therefore, we implement sophisticated safety management systems (SMS) in order to prevent potential "human failure". These SMS provide an impressive increase of safety. In safety science this approach is labelled "Safety-I", and it starts to be questioned because humans do not show failures only. On the contrary, they often actively contribute to safety, sometimes even by deviating from a procedure. This "Safety-II" perspective considers humans to be a "safety factor" as well because of their ability to adjust behaviour to the given situation. However, adaptability requires scope of action and this is where Safety-I and Safety-II contradict each other. While the former restricts freedom of action, the latter requires room for manoeuvring. Thus, the task of integrating the Safety-II perspective into SMS, which are traditionally Safety-I based, is difficult. This challenge was the main objective of our project. We discovered two methods that contribute to the quality of SMS by integrating Safety-II into SMS without jeopardizing the Safety-I approach.

Multimodal biometric system using deep learning based on face and finger vein fusion

2021 ◽  
pp. 1-13
Author(s):  
Shikhar Tyagi ◽  
Bhavya Chawla ◽  
Rupav Jain ◽  
Smriti Srivastava
Keyword(s):  
High Performance ◽  
Recognition Accuracy ◽  
Error Rates ◽  
Facial Features ◽  
Biometric System ◽  
Deep Convolutional Neural Networks ◽  
Finger Vein ◽  
Biometric Systems ◽  
Overall Performance ◽  
Recognition Systems

Single biometric modalities like facial features and vein patterns despite being reliable characteristics show limitations that restrict them from offering high performance and robustness. Multimodal biometric systems have gained interest due to their ability to overcome the inherent limitations of the underlying single biometric modalities and generally have been shown to improve the overall performance for identification and recognition purposes. This paper proposes highly accurate and robust multimodal biometric identification as well as recognition systems based on fusion of face and finger vein modalities. The feature extraction for both face and finger vein is carried out by exploiting deep convolutional neural networks. The fusion process involves combining the extracted relevant features from the two modalities at score level. The experimental results over all considered public databases show a significant improvement in terms of identification and recognition accuracy as well as equal error rates.

Measuring the Causes of Saudi Arabian Construction Accidents: Management and Concerns

2020 ◽  
Vol 10 (2) ◽  
pp. 108-14
Author(s):  
Majed M Moosa ◽  
Leo P. Oriet ◽  
Abdulrahman M Khamaj
Keyword(s):  
Saudi Arabia ◽  
Saudi Arabian ◽  
Safety Performance ◽  
Construction Sites ◽  
New Employees ◽  
Factors Affecting ◽  
Safety Issues ◽  
Construction Companies ◽  
Level Data ◽  
Construction Accidents

Introduction: Research indicate that construction site accidents are a global concern, and rates are rapidly increasing. In developing countries such as Saudi Arabia, safety issues are frequently ignored, and little is known about their causes. Objectives: This study aimed to shed light on factors causing accidents in Saudi Arabian construction companies. Methods: An online detailed survey, using Google Form, of accident features was distributed randomly to potential employees in 35 construction companies in Saudi Arabia, where one of the top administrators or safety officers were required to respond to the survey. It was conducted from 1st June to 31st August, 2013. The safety practices and perceptions of accident causes were assessed. Results: The response rate was 63%. Over half of the surveyed organizations encountered all of the selected accident types. While 19 (86%) of the construction companies maintained the equipment regularly, 15 (68%) had regular maintenance staff and 13 (59%) inspected the equipment before use. Although 18 (82%) of the workers were supplied with personal protective equipment (PPE), only 12 (55%) emphasized its use and offered site orientation for new employees.  In the last part of the survey, respondents were requested to rate 25 factors affecting safety performance at the construction sites on a scale of 1 to 5, with 5 being the most important. The three most important factors of poor safety performance were the firm's top leaders, a lack of training, and the reckless operation of equipment. Conclusion: Changing attitudes of surrounding safety culture have the potential to significantly improve safety outcomes in the Saudi Arabian construction industry. Two Saudi Arabian corporations, Saudi Aramco and Saudi Chevron Petrochemical provide a positive model for increasing construction safety in the country, but there is a paucity of industry-level data. Further scholarly attention is strongly indicated.

Video surveillance and analytics technologies in the safety management system in construction projects realization

2020 ◽  
pp. 41-51
Author(s):  
Pavel Kurochkin
Keyword(s):  
Video Surveillance ◽  
Management System ◽  
Construction Projects ◽  
Safety Management ◽  
Industrial Safety ◽  
Processing Plant ◽  
Labor Protection ◽  
Construction Sites ◽  
Gas Processing ◽  
Design And Implementation

Pavel Kurochkin, manager of labor protection, industrial safety and ecology at NIPIGAS company, talks about the realization of the NIPIGAS project for the construction of the Amur gas processing plant for LLC Gazprom pererabotka Blagoveshchensk and about the design and implementation of preparatory works for the construction of the Amur gas-chemical plant for LLC SIBUR. New approaches to labor protection and safety, which are used at NIPIGAZ construction sites, make it possible to control the safety of work at heights and in inaccessible places and to monitor construction and installation works using video surveillance technologies and video analytics.

scholarly journals Using Synthetic Data to Improve and Evaluate the Tracking Performance of Construction Workers on Site

2020 ◽  
Vol 10 (14) ◽  
pp. 4948
Author(s):  
Marcel Neuhausen ◽  
Patrick Herbers ◽  
Markus König
Keyword(s):  
Real World ◽  
Safety Management ◽  
Tracking System ◽  
Synthetic Data ◽  
Tracking Systems ◽  
Construction Sites ◽  
Virtual Construction ◽  
Percentage Points ◽  
Video Frames ◽  
Graphics Software

Vision-based tracking systems enable the optimization of the productivity and safety management on construction sites by monitoring the workers’ movements. However, training and evaluation of such a system requires a vast amount of data. Sufficient datasets rarely exist for this purpose. We investigate the use of synthetic data to overcome this issue. Using 3D computer graphics software, we model virtual construction site scenarios. These are rendered for the use as a synthetic dataset which augments a self-recorded real world dataset. Our approach is verified by means of a tracking system. For this, we train a YOLOv3 detector identifying pedestrian workers. Kalman filtering is applied to the detections to track them over consecutive video frames. First, the detector’s performance is examined when using synthetic data of various environmental conditions for training. Second, we compare the evaluation results of our tracking system on real world and synthetic scenarios. With an increase of about 7.5 percentage points in mean average precision, our findings show that a synthetic extension is beneficial for otherwise small datasets. The similarity of synthetic and real world results allow for the conclusion that 3D scenes are an alternative to evaluate vision-based tracking systems on hazardous scenes without exposing workers to risks.

scholarly journals The Primary Discussion on the Safety Management of Construction Site

2015 ◽  
Vol 4 (1) ◽  
pp. 19
Author(s):  
Qi Feng
Keyword(s):  
Safety Management ◽  
Working Environment ◽  
Construction Site ◽  
Security Measures ◽  
Construction Enterprises ◽  
Construction Companies ◽  
Security Technologies ◽  
Supervision And Management ◽  
Project Construction ◽  
Property Losses

<p>In recent years in building construction site construction workers due to the complexity, the project construction period, the working environment is poor, the construction process hazard and more security-conscious workers partial bottom. When accidents occur, such as by falling, falling objects wounding, electric shock, earthmoving collapse, overturning and other machinery, causing casualties, to construction companies and property losses caused by the economy to varying degrees. Throughout its reasons, one is security responsibilities are not clear, safety supervision and management system is not perfect, the other is the weakening of the internal management of construction enterprises, especially flawed construction site management, lack of effective security measures, the responsibility is not implemented, management personnel and operations personnel have not performed the necessary education and training, lack of knowledge of security technologies, illegal command, illegal operation.</p>

scholarly journals Socio-economic impact in the late diagnosis of retinopathy of prematurity

2016 ◽  
Vol 11 (1) ◽  
pp. 45-48
Author(s):  
Daniela POPESCU ◽  
◽  
Dumitru MATEI ◽  
◽  
◽  
...  
Keyword(s):  
Risk Factor ◽  
Human Resources ◽  
Retinopathy Of Prematurity ◽  
Social Impact ◽  
Treatment Programs ◽  
Additional Risk Factor ◽  
Fundus Examination ◽  
Additional Risk ◽  
Simple Process ◽  
Socio Economic Impact

Retinopathy of prematurity (ROP) represents a determinate cause of blindness in children that could be avoided. Blindness due to ROP and the stage of it when its being diagnosed is mostly determined by: socioeconomic degree of country development; availability of the screening in neonatal care; gestational age and hospital screenings; treatment programs available at any given time in the country; screening and treatment costs (material and human resources). ROP is the number one cause of blindness in Romania at the time being. Early discovery decreases exponentially the chances of blindness onset. Low birth weight (LBW), fewer than 1,500 g, represents an additional risk factor together with the degree of prematurity. Mandatory screening both during hospitalization as well as in the first 4-6 weeks after birth may avoid a major social problem. It is a simple process – eye exam with fundus examination – and it depends entirely on the availability, consistency and seriouseness of the parents. Thus a major social impact with disastrous consequences could be avoided.

scholarly journals Integration of digital technologies in the field of construction in the Russian Federation

2019 ◽  
Vol 11 (3) ◽  
pp. 38-47 ◽  
Author(s):  
Elena Aleksandrova ◽  
Victoria Vinogradova ◽  
Galina Tokunova
Keyword(s):  
Russian Federation ◽  
Construction Projects ◽  
High Performance ◽  
Digital Technologies ◽  
Unmanned Vehicles ◽  
Business Relationships ◽  
Construction Companies ◽  
Digital Ecosystem ◽  
The Russian Federation ◽  
The Government

Abstract The article presents the study that mainly focused on the changes made as a result of collaborative innovations in business relationships developed during the period of digitalisation in the construction field of the Russian Federation. It is a conceptual piece of work based on the systematic approach to the analysis, literature review and comparative analysis. The digitalisation of investment and construction projects is technologically based on the integration of solutions, such as the building information model (BIM), high-performance IT-systems, cloud platforms and the Internet-of-Things, resulting in unified and constant connectivity, specialised mobile applications, robotic equipment, unmanned vehicles, additive technologies, AR/VR services for the analysis of Big-Data, and blockchain technologies. The integration of digital technologies is a radical innovation, which highlights collaborative innovations in business relationships and makes it possible to form a united digital ecosystem that allows firms to manage, control and regulate the full lifecycle of a construction project, and then, the property in real-time. The contribution of this work to the construction field is the offered model for the creation of a digital ecosystem and the described role of the government in the model. Also, this work can be used for the integration of BIM technologies in construction companies.

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