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نتیجه جستجو - Unsafe behavior

تعداد مقالات یافته شده: 2
ردیف عنوان نوع
1 Computer vision technologies for safety science and management in construction: A critical review and future research directions
فناوری های بینایی رایانه ای برای علم ایمنی و مدیریت در ساخت و ساز: مروری انتقادی و جهت تحقیقات آینده-2021
Recent years have seen growing interests in developing and applying computer vision technologies to solve safety problems in the construction industry. Despite the technological advancements, there is no research that exams the theoretical links between computer vision technology and safety science and management. Thus, the ob- jectives of this paper are to: (1) investigate the current status of applying computer vision technology to con- struction safety, (2) examine the links between computer vision applications and key research themes of construction safety, (3) discuss the theoretical challenges of applying computer vision to construction safety, and(4) recommend future research directions. A five-step review approach was adopted to search and analyze peer- reviewed academic journal articles. A three-level computer vision development framework was proposed to categorized computer vision applications in the construction industry. The links between computer vision and three main safety research traditions: safety management system, behavior-based safety program, and safety culture, were discussed. The results suggest that the majority of past efforts were focused on object recognition, object tracking, and action recognition, with limited research focused on recognizing unsafe behavior. There are even fewer studies aimed at developing vision-based safety assessment and prediction systems. Based on the review findings, four future research directions are suggested: (1) develop and test a behavioral-cues-based safety climate measure, (2) develop safety behavior datasets, (3) develop a formal hazard identification and assessment model, and (4) develop criteria to evaluate the real impacts of vision-based technologies on safety performance.
Keywords: Computer vision | Construction health and safety | Safety science | Safety culture | Safety Climate, Hazard | Safety management system | Digital technologies | Automation
مقاله انگلیسی
2 Computer vision approaches for detecting missing barricades
رویکردهای بینایی ماشین برای تشخیص موانع گمشده-2021
The installation of barricades effectively prevents falls from height (FFH) on construction sites. Common approaches for detecting missing barricades (e.g., manual inspection of the site or three-dimensional models) are not practical due to two inherent challenges: (1) these approaches are labor-intensive and time-consuming; and(2) FFH hazards are dynamic and changing as construction work progresses. To address these challenges, two computer vision-based detection approaches, including Masks Comparison Approach (MCA) and Missing Object Detection Approach (MODA), are developed in this study to automatically detect missing barricade. The performance of the proposed approaches and their benefits and implementation challenges were evaluated through a case study. The results demonstrate that MODA can achieve better performance and have several implementation advantages over MCA. The average precision and average recall for MODA were 57.9% and 73.6%, respectively. These two approaches can help site managers take action promptly to reduce the risks of FFH accidents.
Keywords: Falls from height | Safety | Computer vision | Unsafe behavior | Deep learning
مقاله انگلیسی
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