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Computer vision provides an automated field-observation approach for extracting safety-related information from site images and videos, complementing manual observation. Despite research progress, real-world deployment remains premature due to reliability, accuracy, and applicability challenges. This review summarizes object detection, tracking, and action recognition studies and highlights needs for improved scene understanding, tracking under camera variation, action recognition across workers and equipment, plus metrics, dynamic-site robustness, and privacy considerations.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/computer-vision-techniques-for-construction-safety-and-health-monitoring-review-and-future-directions/639759/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/computer-vision-techniques-for-construction-safety-and-health-monitoring-review-and-future-directions/639759.png","ImageObject",300,407,{"name":92,"@type":93},"Quinn Holloway","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-30","2026-10-22",true,{"@type":102,"interactionType":103,"userInteractionCount":29},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"Why is continuous monitoring important for construction safety and health?","Question",{"text":112,"@type":113},"Construction workers face evolving hazards throughout projects. Continuous monitoring helps detect unsafe conditions and unsafe acts early so corrective actions can be taken in time.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How do computer vision techniques support construction safety monitoring?",{"text":117,"@type":113},"Computer vision enables automated extraction of safety-related information from site images and videos, offering a robust complement to costly and time-consuming manual observations.",{"name":119,"@type":110,"acceptedAnswer":120},"What are the main technical and practical challenges for real practice adoption?",{"text":121,"@type":113},"Key challenges include comprehensive scene understanding, variable tracking accuracy depending on camera position, and action recognition involving multiple workers and equipment. Practical issues also include the lack of task-specific quantifiable metrics, difficulties under dynamic construction-site conditions, and privacy concerns.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},639759,1792705144,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":29,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":129,"read_time":144},2336474466712,"https://ap-avatar.wpscdn.com/davatar_a8503ba1806abce46bf441b54a3ca4cd","Advanced Engineering Informatics xxx (2015) xxx–xxx  \n| Computer vision techniques for construction safety and health monitoring q\u003Cbr>JoonOh Seo a, SangUk Han b, SangHyun Lee a, ⇑, Hyungkwan Kim c\u003Cbr>a Tishman Construction Management Program, Dept. of Civil and Environmental Engineering, University of Michigan, 2350 Hayward St., Ann Arbor, MI 48109, USA b Dept. of Civil and Environmental Engineering, University of Alberta, 9105 116th St., Edmonton, Alberta T6G 2W2, Canada\u003Cbr>c School of Civil and Environmental Engineering, Yonsei University, 134 Shinchon-dong, Seodaemun-gu, Seoul 120-749, Republic of Korea |  |\n| --- | --- |\n| a r t i c l e i n f o\u003Cbr>Article history:\u003Cbr>Received 23 September 2014\u003Cbr>Received in revised form 2 January 2015 Accepted 3 February 2015\u003Cbr>Available online xxxx\u003Cbr>Keywords:\u003Cbr>Construction safety and health Computer vision\u003Cbr>Monitoring | a b s t r a c t\u003Cbr>For construction safety and health, continuous monitoring of unsafe conditions and action is essential in order to eliminate potential hazards in a timely manner. As a robust and automated means of field observation, computer vision techniques have been applied for the extraction of safety related information from site images and videos, and regarded as effective solutions complementary to current time-consuming and unreliable manual observational practices. Although some research efforts have been directed toward computer vision-based safety and health monitoring, its application in real practice remains premature due to a number of technical issues and research challenges in terms of reliability, accuracy, and applicability. This paper thus reviews previous attempts in construction applications from both technical and practical perspectives in order to understand the current status of computer vision techniques, which in turn suggests the direction of future research in the field of computer vision-based safety and health monitoring. Specifically, this paper categorizes previous studies into three groups—object detection, object tracking, and action recognition—based on types of information required to evaluate unsafe conditions and acts. The results demonstrate that major research challenges include comprehensive scene understanding, varying tracking accuracy by camera position, and action recognition of multiple equipment and workers. In addition, we identified several practical issues including a lack of task-specific and quantifiable metrics to evaluate the extracted information in safety context, technical obstacles due to dynamic conditions at construction sites and privacy issues. These challenges indicate a need for further research in these areas. Accordingly, this paper provides researchers insights into advancing knowledge and techniques for computer vision-based safety and health monitoring, and offers fresh opportunities and considerations to practitioners in understanding and adopting the techniques.\u003Cbr>􀀂 2015 Elsevier Ltd. All rights reserved. |\n\n1. Introduction  \nDue to hazardous working environments at construction sites, workers frequently face potential safety and health risks throughout the construction process. Even though the construction sector constitutes about 5% of the workforce in the U.S., fatal injuries in construction account for about 18% of all occupational deaths [1]. In addition, the incident rate for nonfatal occupational injuries and illness in construction is 30% higher than average industries [2]. These statistics obviously show an immediate need to reduce the prevalence of fatal and non-fatal injuries in construction. To  \nq Handled by W.O. O’Brien.  \n⇑ Corresponding author. Tel.: +1 734 764 9420; fax: +1 734 764 4292.  \nE-mail addresses: [junoseo@umich.edu](junoseo@umich.edu) (J. Seo), [sanguk@ualberta.ca](sanguk@ualberta.ca) (S. Han), [shdpm@umich.edu](shdpm@umich.edu) (S. Lee), [youngkwan@yonsei.ac.kr](youngkwan@yonsei.ac.kr) (H. Kim).  \naddress this issue, previous research has examined accident occurrence m","cbCaiklG3aTTNtlB","https://ap.wps.com/l/cbCaiklG3aTTNtlB","pdf",1643296,13,"English","# Introduction\n## Motivation and need for safer construction monitoring\n## Accident causation and monitoring of unsafe conditions and acts\n## Limitations of manual site observation\n# Computer vision-based monitoring\n## Automated extraction from site images and videos\n## Research gaps and practical challenges","[{\"question\":\"Why is continuous monitoring important for construction safety and health?\",\"answer\":\"Construction workers face evolving hazards throughout projects. Continuous monitoring helps detect unsafe conditions and unsafe acts early so corrective actions can be taken in time.\"},{\"question\":\"How do computer vision techniques support construction safety monitoring?\",\"answer\":\"Computer vision enables automated extraction of safety-related information from site images and videos, offering a robust complement to costly and time-consuming manual observations.\"},{\"question\":\"What are the main technical and practical challenges for real practice adoption?\",\"answer\":\"Key challenges include comprehensive scene understanding, variable tracking accuracy depending on camera position, and action recognition involving multiple workers and equipment. Practical issues also include the lack of task-specific quantifiable metrics, difficulties under dynamic construction-site conditions, and privacy concerns.\"}]","Computer vision techniques for construction safety and health monitoring - review and future directions | PDF",33]