Widi Aribowo, Sharyar Wani, Hakem Beitollahi, Firas Mahmood Mustafa, Sabat Salih Muhamad, Anik Vega Vitianingsih, Muhammad Dedi Irawan, Vita Mahardhika, Senny Luckyardi
The construction industry is undergoing a transformative shift with the integration of intelligent monitoring technologies. Advanced sensing systems, including IoT-enabled devices, drones, and wearable technologies, are increasingly employed to track project progress, detect potential hazards, and predict environmental impacts. Coupled with artificial intelligence (AI) and machine learning algorithms, these technologies facilitate proactive decision-making, enhance operational efficiency, and reduce human error. This chapter explores emerging trends in intelligent construction monitoring, highlighting innovations in real-time data acquisition, predictive analytics, automated reporting, and adaptive risk management frameworks. It also examines challenges related to data integration, interoperability, cybersecurity, and ethical considerations, providing a comprehensive roadmap for researchers, practitioners, and policymakers to leverage intelligent monitoring systems for safer and more sustainable construction practices. Copyright © 2026, IGI Global Scientific Publishing.
Faculty of Vocational Studies, Universitas Negeri, Surabaya, Indonesia; Department of Computer Science, International Islamic University Malaysia, Kuala Lumpur, Malaysia; Soran University, Iraq; Duhok Polytechnic University, Iraq; Universitas Dr. Soetomo, Indonesia; Universitas Islam Negeri Sumatera Utara, Indonesia; Faculty of Law, Universitas Negeri, Surabaya, Indonesia; Universitas Komputer Indonesia, Indonesia
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