Artificial Intelligence Associated Drones Solutions for Waste Disposal Management in the Process Industries
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.
Authors
- V. Ramakrishnan
- Khalid Mashay Al‐Anazi (ORCID: https://orcid.org/0000-0002-8155-1378)
- Battrakuppa Narayana Reddy Sathyanarayana Reddy
- A. Al-Shaikh
- Maha Almuaikel
Institutions
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Published
- 2024-11-04
- DOI
- https://doi.org/10.2118/222101-ms
- Citations
- 1
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 0.78