Smart City Gnosys

Smart city article details

Title	Artificial Intelligence Associated Drones Solutions For Waste Disposal Management In The Process Industries
ID_Doc	10446
Authors	Harsha B.; Reddy V.; Ramakrishnan V.; Almuaikel M.; Alanazi K.; Alshaikh A.A.
Year	2024
Published	Society of Petroleum Engineers - ADIPEC 2024
DOI	http://dx.doi.org/10.2118/222101-MS
Abstract	The paper aims to provide an overview of "Waste Management Solution," an Artificial Intelligence computer vision solution that can detect the location, classify, and quantify waste on a geospatial map constructed by aerial images collected with drones. The objective is to demonstrate how drones with integrated AI solutions can drive efficiency, productivity, and innovation in industrial operations. The solution comprises drones collecting aerial image data and implementing cloud-based AI/Machine learning (ML) models to detect waste materials. By integrating drone technology, AI, and mapping techniques, the solution supports industrial organizations, government authorities, and environmental agencies in achieving their net-zero goals, aligned with the Saudi Green Initiative 2030, and aiming to create a cleaner environment. The solution offers a cost-effective method for processing industries facilities and the environmental and urban planning of smart cities by digitizing waste management practices, replacing time-consuming manual industrial waste inspections. The benefits of the solution are demonstrated through our experience of an actual project conducted with the project management office of a large oil and gas operating company. Copyright 2024, Society of Petroleum Engineers.
Author Keywords

Similar Articles

Id	Similarity	Authors	Title	Published
46602	0.89	Farghali M.; Osman A.I.	Revolutionizing Waste Management: Unleashing The Power Of Artificial Intelligence And Machine Learning	Advances in Energy from Waste: Transformation Methods, Applications and Limitations under Sustainability (2024)
22415	0.887	Malche T.; Maheshwary P.; Tiwari P.K.; Alkhayyat A.H.; Bansal A.; Kumar R.	Efficient Solid Waste Inspection Through Drone-Based Aerial Imagery And Tinyml Vision Model	Transactions on Emerging Telecommunications Technologies, 35, 4 (2024)
1566	0.884	Ramirez-Lopez A.; Cortes-González A.; Ochoa-Ruiz G.; Ochoa-Zezzatti A.; Aguilar-Lobo L.M.; Moreno-Jacobo D.; Mata-Miquel C.	A Drone System For Detecting, Classifying And Monitoring Solid Wastes Using Computer Vision Techniques In The Context Of A Smart Cities Logistics Systems	Lecture Notes in Intelligent Transportation and Infrastructure, Part F1390 (2021)
61611	0.882	Lan J.; Cai Z.; Dong X.	Webgl, Xai And Uav Based Integrated Approach For Waste Management In Smart Cities	IEEE Transactions on Consumer Electronics (2025)
7071	0.871	Udupi P.K.; Jose M.; Ullah A.	Ai-Enabled Smart City Waste Management System	Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges (2025)
7070	0.87	Udupi P.K.; Jose M.; Ullah A.	Ai-Enabled Smart City Waste Management System	Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges (2024)
10488	0.869	Fang B.; Yu J.; Chen Z.; Osman A.I.; Farghali M.; Ihara I.; Hamza E.H.; Rooney D.W.; Yap P.-S.	Artificial Intelligence For Waste Management In Smart Cities: A Review	Environmental Chemistry Letters, 21, 4 (2023)
2069	0.864	Kannan E.; Yuvarani B.; Sanjaykumar S.; Tamilvanan T.; Vasanth J.; Manikandan S.	A High Efficient And Cost Effective Waste Sorting Solution Using Advanced Sensors And Ai	Proceedings of 5th International Conference on Trends in Material Science and Inventive Materials, ICTMIM 2025 (2025)
10545	0.858	Rajalakshmi J.; Sumangali K.; Jayanthi J.; Muthulakshmi K.	Artificial Intelligence With Earthworm Optimization Assisted Waste Management System For Smart Cities	Global Nest Journal, 25, 4 (2023)
7016	0.857	Banupriya V.; Arul Rixy Catherine T.; Gopika Shri M.; Renugadevi P.; Unnamalai C.	Ai-Driven Bio-Waste Classification And Bin Management System Using Sensor Fusion And Iot	Proceedings - 3rd International Conference on Artificial Intelligence and Machine Learning Applications: Healthcare and Internet of Things, AIMLA 2025 (2025)