The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Leveraging OWL-ViT and MQTT for Real-Time Construction Safety: An Integrated AIoT Monitoring Framework
|
|
Author(s): Yiwei Le (The Hong Kong Polytechnic University, Hong Kong), WingLaam Tsui (The Hong Kong Polytechnic University, Hong Kong), Junqing Lan (The Hong Kong Polytechnic University, Hong Kong), Zheng Hua Xiao (The Hong Kong Polytechnic University, Hong Kong), Shizhao Zhou (The Hong Kong Polytechnic University, Hong Kong)and Haozhe Ruan (The Hong Kong Polytechnic University, Hong Kong)
Copyright: 2026
Pages: 24
Source title:
Intelligent Construction Monitoring Systems: Real-Time Safety, Environmental Prediction, and Risk Management
Source Author(s)/Editor(s): Aquil Mirza Mohammed (The Hong Kong Polytechnic University, Hong Kong)and Hewa Majeed Zangana (Duhok Polytechnic University, Iraq)
DOI: 10.4018/979-8-3373-9245-5.ch006
Purchase
|
Abstract
In Hong Kong, many construction assistants die every year in various non-fatal construction accidents because they do not wear construction site helmets. Traditional manual supervision often has problems of low efficiency, negligence, and excessive capital costs. To address these issues, this paper proposes an intelligent monitoring system based on AloT that integrates deep learning and real-time data communication to enhance safety compliance and environmental oversight. The system uses the OWL-ViT model for automatic helmet detection and uses MQTT for seamless data transfer between the client and server. Key features include checking worker helmet-wearing rationality, temperature, and humidity, and escalating decibel tracking. Experiments show that the system can provide operability opinions for site safety. This study highlights the system's problematic potential to reduce accidents on construction sites and improve the built environment.
Related Content
|
M. Vinayaka, B. Lokeshappa, Shanmukha N. T..
© 2026.
16 pages.
|
|
Kholis Kholis Ernawati.
© 2026.
32 pages.
|
|
Cristina Elena Turcu, Corneliu Octavian Turcu.
© 2026.
40 pages.
|
|
Muhammad Usman Tariq.
© 2026.
28 pages.
|
|
Gaganpreet Kaur, Amandeep Kaur, Ramandeep Sandhu.
© 2026.
22 pages.
|
|
C. V. Suresh Babu, V. Karunya Lydia, M. Jeevananthan, S. Sidharth.
© 2026.
26 pages.
|
|
Renu Mishra, Adarsh Tiwari, Sneha Sinha, Anmol Kr. Sah, Mamta Narwaria.
© 2026.
24 pages.
|
|
|