![\"\u23f0\"](\"https:\/\/lh7-us.googleusercontent.com\/x4aRWxvPv-FS0W446kFF1OOAi3ZaJJWJmginxEH_GozIT456IK0RIStt4_qenvQ7OAno16sr_JWc0uEA2L3DMSyKWrs3vARtyvSYaPtRmrbSFTHkXYGzU97eZWIMnah6XW7O_RZvmFNoWBA56U8qjes\")
14:00, Saturday, 13 April 2024<\/p>\n\n\n\nCurrently, artificial intelligence is applied to many aspects of the construction industry. With the ability to read, understand, and process information quickly and accurately, artificial intelligence can help project managers improve performance, construction quality, reduce risks, and optimize building construction process.<\/p>\n\n\n\n
In the field of labor safety monitoring in construction, the development of artificial intelligence and advanced algorithms such as machine learning and deep learning have created many positive changes. A typical example is the application of AI to detect, identify, check, analyze images effectively and accurately, provide warnings about necessary changes, and improve safety monitoring, thereby contributing to minimizing risks and ensuring labor safety on construction sites.<\/p>\n\n\n\n
In order to share research results related to the application of artificial intelligence in labor safety monitoring, Ho Chi Minh City University of Technology in collaboration with Sungkyunkwan University, Korea, organized a symposium: “ARTIFICIAL INTELLIGENCE APPLICATIONS FOR LABOUR SAFETY MONITORING IN SMART CONSTRUCTION.\u201d<\/p>\n\n\n\n
![\"\ud83d\udccd\"](\"https:\/\/lh7-us.googleusercontent.com\/4nusBYHToX1Gzi4bUHuvC5JqXmZTDdurX60q8rkfZE_y4G_XoeipWTID26LQM0NFnvjFWaKg0rYdfBX64P8tYtEWd3tm8DtT2YBuECA9Pp5JuPPwevPLIlTikPlwkjGX1dnBsNPvEwnVq7WuTya9IGk\")
The symposium offers exchanges of knowledge and discussions around 4 research presentations including:<\/p>\n\n\n\n – Research presentation 1: Deep learning-based pose estimation for identifying potential fall hazards of construction worker – Dr. Minsoo Park, Sungkyunkwan University<\/p>\n\n\n\n – Research presentation 2: Damage Detection on Reuse Scaffolding Materials Using Magnetic Leakage Flux Method – Hansun Kim, Sungkyunkwan University<\/p>\n\n\n\n – Research presentation 3: Development of a machine learning-based construction disaster prediction model using structured and unstructured data from construction sites – Mingeon Cho, Sungkyunkwan University<\/p>\n\n\n\n – Research presentation 4: NVIDIA Omniverse-based approach for generating auto-labelled synthetic data for object detection in construction site – Khoa Vo Tran Dang Sungkyunkwan University.<\/p>\n\n\n\n At the symposium, representatives of Sungkyunkwan University, Korea will provide information related to recruiting personnel for the Smart Construction IT Laboratory. This is an open opportunity for those pursuing Construction Management and Computer Science.<\/p>\n\n\n\n \ud83c\udf10Bach Khoa International Master Program (BK-IMP) – Ho Chi Minh City University of Technology is a pioneering and prestigious program in the field of master’s training in engineering and management. This is a formal, international program with a constantly updated curriculum, with addition of new technological and management knowledge, highly applicable in practical work. In addition, with the combination of lecturers from HCMUT and leading professors with extensive practical experience from abroad, BK-IMP will be an ideal choice to enhance career opportunities, leadership abilities and entrepreneurial skills for students.<\/p>\n","protected":false},"excerpt":{"rendered":" Currently, artificial intelligence is applied to many aspects of the construction industry. With the ability to read, understand, and process information quickly and accurately, artificial intelligence can help project managers improve performance, construction quality, reduce risks, and optimize building construction process. In the field of labor safety monitoring in construction, the development of artificial intelligence […]<\/p>\n","protected":false},"author":16,"featured_media":54065,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"off","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[2],"tags":[11,30,7,9,29,31],"class_list":["post-54044","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-news","tag-admission","tag-bk-imp","tag-hcmut","tag-imp","tag-project-management","tag-thac-si-chat-luong-cao"],"yoast_head":"\n![\"\ud83d\udd25\"](\"https:\/\/lh7-us.googleusercontent.com\/RStFB6nYFzA5hIv83YoO_wNDCUZpyvpXUsa1ENo0mXFha0i23I_XxxwQ9ujJldomPMe0UnaEz52aM8dQBxF1V-RP0S5RJVlmOt6FBG98TARjOeunRKKaCzhk5IckmLPnDBDvvDPHeMqqYYNtc32Hflc\")
![\"\"](\"https:\/\/imp.hcmut.edu.vn\/en\/wp-content\/uploads\/2024\/04\/BK-IMP-Symposium-Construction-Management-AI-applications-for-worker-safety-monitoring-in-smart-construction-724x1024.jpg\")
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