Pro-active warning system for the crossroads at construction sites based on computer vision

2020 ◽  
Vol 27 (5) ◽  
pp. 1145-1168
Author(s):  
Dianchen Zhu ◽  
Huiying Wen ◽  
Yichuan Deng

Purpose To improve insufficient management by artificial management, especially for traffic accidents that occur at crossroads, the purpose of this paper is to develop a pro-active warning system for crossroads at construction sites. Although prior studies have made efforts to develop warning systems for construction sites, most of them paid attention to the construction process, while the accidents that occur at crossroads were probably overlooked. Design/methodology/approach By summarizing the main reasons resulting for those accidents occurring at crossroads, a pro-active warning system that could provide six functions for countermeasures was designed. Several approaches relating to computer vision and a prediction algorithm were applied and proposed to realize the setting functions. Findings One 12-hour video that films a crossroad at a construction site was selected as the original data. The test results show that all designed functions could operate normally, several predicted dangerous situations could be detected and corresponding proper warnings could be given. To validate the applicability of this system, another 36-hour video data were chosen for a performance test, and the findings indicate that all applied algorithms show a significant fitness of the data. Originality/value Computer vision algorithms have been widely used in previous studies to address video data or monitoring information; however, few of them have demonstrated the high applicability of identification and classification of the different participants at construction sites. In addition, none of these studies attempted to use a dynamic prediction algorithm to predict risky events, which could provide significant information for relevant active warnings.

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Tongqiang Ding ◽  
Xiaorong Li ◽  
Lili Zheng ◽  
Zhiguo Hao

In order to ensure safe lane change and avoid traffic accidents, an effective lane change assist system is required. In a lane change assist system, it is very important to obtain the following elements in time, such as actual distance between vehicles, minimum safety distance, and warning signal. To this end, this paper analyzed four kinds of lane change angle collision scenes. Initial position, initial velocity, acceleration, heading angle, and kinematics of vehicles were used to calculate the position of potential angle collision points between lane change vehicle and obstacle vehicles. Then, actual distance model was constructed based on potential angular collision points. The minimum safety distance model was also established under the two most unfavorable conditions. In order to achieve the lane change warning, three early warning rules were formulated. We verified the validity of models and early warning rules using vehicle driving video data of Interstate 80 in California. Models and early warning rules constructed in our research can be applied to the advanced active safety systems of vehicle, such as vehicle lane change assist system and active collision early warning system, which can improve the active safety and reduce traffic accidents.


2021 ◽  
Vol 11 (10) ◽  
pp. 4342
Author(s):  
Yeanjae Kim ◽  
Jieun Baek ◽  
Yosoon Choi

A smart helmet-based wearable personnel proximity warning system was developed to prevent collisions between equipment and pedestrians in mines. The smart helmet worn by pedestrians receives signals transmitted by Bluetooth beacons attached to heavy equipment, light vehicles, or dangerous zones, and provides visual LED warnings to the pedestrians and operators simultaneously. A performance test of the proposed system was conducted in an underground limestone mine. It was confirmed that as the transmission power of the Bluetooth beacon increased, the Bluetooth low energy (BLE) signal detection distance of the system also increased. The average BLE signal detection distance was at least 10 m, regardless of the facing angle between the smart helmet and Bluetooth beacon. The subjective workload for the smartphone-, smart glasses-, and smart helmet-based proximity warning system (PWS) was evaluated using the National Aeronautics and Space Administration task load index. All six workload parameters were the lowest when using the smart helmet-based PWS. The smart helmet-based PWS can provide visual proximity warning alerts to both the equipment operator and the pedestrian, and it can be expanded to provide worker health monitoring and hazard awareness functions by adding sensors to the Arduino board.


2020 ◽  
Vol 103 (3) ◽  
pp. 003685042094088
Author(s):  
Huibo Wu ◽  
Fei Song ◽  
Kainan Wu ◽  
Cheng Chen ◽  
Xiaohua Wang

The looseness of tires or even falling off from cars will lead to serious traffic accidents. Once it occurs, it will bring casualties and huge economic losses to society, seriously affecting the traffic safety. To mitigate such possible safety concerns, an early loosening warning system is developed in this article. The system consists of the tire monitoring module and the working control module. The tire monitoring module is installed on the tire and is designed with no power supply. The control module is installed in the vehicle body. Signal transmission between the two modules is achieved through wireless radio frequency. In the driving, once the tire is loosened, the monitoring device will send out the alarm signal automatically and wirelessly. After the driver gets the alarm signal, he can immediately perform the emergency processing, parking, and inspection, which can avoid traffic accidents caused by it. This article introduces the detailed structure, working principle, and operation process of the system. This early warning system has simple structure, high reliability, and is easy to use. It can be used in the common working environment of automobiles. Meanwhile, it is also the foundation of intelligent connected vehicle.


2019 ◽  
Vol 29 (1) ◽  
pp. 65-85
Author(s):  
Victor Marchezini ◽  
Allan Yu Iwama ◽  
Danilo Celso Pereira ◽  
Rodrigo Silva da Conceição ◽  
Rachel Trajber ◽  
...  

Purpose The purpose of this paper is to study an articulated warning system that provides information about the heritage at risk and encourages a dialogue between the heritage sector, civil defense agencies and local communities. Design/methodology/approach The databases from the National Heritage Institute, National Civil Defense, National Geological Service and National Early Warning System were investigated and the local community provided input which helped form a participatory risk mapping strategy for a warning system in the heritage sector. Findings There is little knowledge of the Brazilian heritage that is at risk and a lack of coordination between the cultural heritage and DRR sectors. This means that there is a need to organize the geo-referenced databases so that information can be shared and the public provided with broader access. As a result, there can be a greater production, dissemination and application of knowledge to help protect the cultural heritage. Practical implications The findings can be included in the debate about the importance of framing disaster risk management (DRM) policies in the Brazilian heritage sector. Social implications The findings and maps of the case study in the town of São Luiz do Paraitinga involve the heritage sector, civil defense agencies and local people and can be used for disaster risk preparedness. Originality/value A DRM program is being formulated in Brazil. However, the kind of strategy needed to incorporate the heritage sector in this program stills needs to be planned, and the knowledge of the cultural heritage at risk is a key factor when faced with this new social and scientific challenge.


2007 ◽  
Vol 22 (6) ◽  
pp. 497-515 ◽  
Author(s):  
Sue Shaw ◽  
Catherine Cassell

PurposeThe purpose of this paper is to provide a piece of empirical work that examines gender differences in how academics make sense of performance within university business schools in the UK.Design/methodology/approachThe research reported draws on data collected using a life history and repertory grid methodology with male and female interviewees from two university business schools.FindingsThe findings are discussed in relation to how academics understand what is valued about their role and what they believe the organisation rewards and values when it comes to promotion. Gender differences are shown to exist in the ways women and men define the academic role and in what they think is important both to themselves and the institution.Originality/valueThe paper presents original data on gender differences within a business school context.


1970 ◽  
Vol 33 (6) ◽  
pp. 632-635 ◽  
Author(s):  
Kenneth G. Jamieson

✓ The pattern of head injuries due to traffic accidents has changed markedly in Australia in the period since 1935. A review of autopsy cases of extradural and acute subdural hematomas shows a startling shift toward inoperable lesions. The author points out that accident prevention must now be considered the chief means of reversing man's trend toward self-destruction on the highway.


2017 ◽  
Vol 38 (4) ◽  
pp. 580-593 ◽  
Author(s):  
Nick Deschacht ◽  
Ann-Sophie De Pauw ◽  
Stijn Baert

Purpose The purpose of this paper is to test hypotheses regarding the importance of employee preferences in explaining sticky floors, the pattern that women are, compared to men, less likely to start to climb the job ladder. Design/methodology/approach The authors use original data obtained using a survey and a vignette study in which participants had to score the likeliness with which they would accept job offers with different promotion characteristics. Findings The main findings are that young female professionals have a less pronounced preference for more demanding and less routinary jobs and that this effect is mediated by the greater risk aversion and anticipated gender discrimination among women. No gender differences were found in the relative likeliness to apply for jobs that involve a promotion in terms of job authority. Research limitations/implications The vignette method assumes that artificial settings with low stakes do not bias results. Another limitation follows from the focus on inter-organizational promotions among young professionals, which raises the question to what extent the results can be generalized to broader settings. Originality/value This paper contributes to the literature on gender differences in careers by measuring the impact of employee preferences on gender differences in career decisions.


Author(s):  
Shiyu Deng ◽  
Chaitanya Kulkarni ◽  
Tianzi Wang ◽  
Jacob Hartman-Kenzler ◽  
Laura E. Barnes ◽  
...  

Context dependent gaze metrics, derived from eye movements explicitly associated with how a task is being performed, are particularly useful for formative assessment that includes feedback on specific behavioral adjustments for skill acquisitions. In laparoscopic surgery, context dependent gaze metrics are under investigated and commonly derived by either qualitatively inspecting the videos frame by frame or mapping the fixations onto a static surgical task field. This study collected eye-tracking and video data from 13 trainees practicing the peg transfer task. Machine learning algorithms in computer vision were employed to derive metrics of tool speed, fixation rate on (moving or stationary) target objects, and fixation rate on tool-object combination. Preliminary results from a clustering analysis on the measurements from 499 practice trials indicated that the metrics were able to differentiate three skill levels amongst the trainees, suggesting high sensitivity and potential of context dependent gaze metrics for surgical assessment.


2018 ◽  
Vol 31 (8) ◽  
pp. 896-909
Author(s):  
Manal Abdullah Khoja

Purpose The purpose of this paper is to assess the knowledge and practices of nursing staff caring for patients with dysphagia to determine any needs for further education programmes. Design/methodology/approach A self-administered questionnaire with close-ended questions was completed by nurses at a tertiary hospital in Saudi Arabia to measure the depth of their dysphagia knowledge. Findings From 316 potential participants, a sample of 174 nurses completed the questionnaire. The results revealed that the participants had partial theoretical and practical knowledge about nursing care for patients with dysphagia. Of interest, 78 per cent of the nurses reported that they had received less than 1 h of training in dysphagia, and only 4 per cent were aware of speech and language pathologists’ role in dysphagia management. Practical implications As the medical professionals who have the most contact with the patients, nurses have a central role in the care of patients with dysphagia. This study provides information that will guide strategies for in-service nurse education dysphagia programmes. Originality/value The estimated Saudi prevalence of dysphagia is high due to increased incidence of medical conditions commonly associated with dysphagia, such as stroke, cerebral palsy and traumatic brain injuries from traffic accidents. Nurses play a pivotal role in caring for these patients. However, little is known about the level of care patients with dysphagia require in Saudi hospital settings.


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