Munawir Munawir, Muhammad Taufik Dwi Putra, Farhan Naufal Nurdiansyah, Deni Darmawan, Syafrudin Syafrudin, Bimastyaji Surya Ramadan, Hafizhul Khair, Raden Tina Rosmalina, Lia Nurbanillah Fujianti, Indriyani Rachman, Toto Matsumoto, Gafurdjan Israilovich Mukhamedov, Khimmataliev Dustnazar Omonovich, Usarov Jabbor Eshbekovich, Ergachev Rustam Rakhimovich
Illegal waste dumping remains a pressing environmental issue in many urban and peri-urban areas of Indonesia. Traditional monitoring approaches often fall short in detecting, localizing, and quantifying unauthorized disposal activities. This chapter introduces a novel integration of drone-based surveillance and artificial intelligence (AI) technologies to address the monitoring challenges. We discuss the theoretical basis of AI-driven image recognition for waste detection, detail the implementation of unmanned aerial vehicles equipped with computer vision systems, and present a case study demonstrating the application in Bandung City, Indonesia. The results highlight the system’s potential to automatically detect and map illegal dumping zones with high accuracy. Furthermore, we propose policy and technological recommendations to scale up its use for improving environmental compliance, transparency, and sustainable urban governance. © 2026 selection and editorial matter, Tonni Agustiono Kurniawan and Abdelkader Anouzla; individual chapters, the contributors.
Computer Engineering Study Program, UPI Campus Cibiru, Universitas Pendidikan Indonesia, Bandung City, Indonesia; Educational Technology and Communication Science Program, Universitas Pendidikan Indonesia, Bandung City, Indonesia; Environmental Sustainability Research Group (ENSI‑RG, Department of Environmental Engineering, Faculty of Engineering, Universitas Diponegoro, Semarang City, Indonesia; Environmental Engineering Department, Faculty of Engineering, Universitas Sumatera Utara, Medan City, Indonesia; Research Centre for Environmental and Clean Technology, National Research and Innovation Agency, Bandung City, Indonesia; Graduate Programs in Environmental Systems, Graduate School of Environmental Engineering, The University of Kitakyushu, Fukuoka, Japan; Department of Physics and Astronomy, Chirchik State Pedagogical University, Chirchik, Uzbekistan; Faculty of Pedagogy, Chirchik State Pedagogical University, Chirchik, Uzbekistan; Department of Pumping Stations and Hydroelectric Power Plants, Faculty of Hydrotechnical Construction, Tashkent Institute of Irrigation and Agricultural Mechanization Engineers (National Research University, Tashkent, Uzbekistan
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