AI-Powered Smart Waste Management Systems Using Cloud Analytics
- Title
- AI-Powered Smart Waste Management Systems Using Cloud Analytics
- Creator
- Kumar Singh, Samit; Chaurasia, Amrita; Ruzimbaevich, Aybek Kalandarov; Kavitha, G.L.
- Description
- The increasing volume of trash and urbanisation has made it essential for waste management to be innovative, sustainable and effective. This study offers a smart waste management system that optimises garbage collection, sorting & recycling using AI, Internet of Things and cloud computing. Real-time monitoring, automated garbage categorisation, predictive fill-level forecasting & intelligent route planning are possible with a hybrid edge-cloud architecture. Technology improves operational efficiency & environmental sustainability over conventional trash systems by incorporating machine learning algorithms and real-time sensor data. Multi-modal data fusion, scalability, cloud analytics & adaptive feedback mechanisms enable system improvement. Sensor upgrades and staged implementation tactics assist in handling IoT adoption issues, including challenging trash categorisation accuracy and high startup expenses. This comprehensive strategy supports smart city development and global sustainability. Future improvements include blockchain for waste tracking and 5 G-powered edge AI for automatic garbage processing. 2025 IEEE.
- Source
- 2025 2nd International Conference on New Frontiers in Communication, Automation, Management and Security, ICCAMS 2025;
- Date
- 01-01-2025
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- Artificial Intelligence; Cloud Analytics; Hybrid Edge Cloud Architecture; Internet of Things; Route Planning; Waste Management
- Coverage
- Kumar Singh S., Bhoj Reddy Engineering College for Women, Department of Mechanical Engineering - H & S, Hyderabad, India; Chaurasia A., Christ ( Deemed to be University), School of Commerce, Finance and Accountancy, Delhi NCR, India; Ruzimbaevich A.K., Mamun University, Department of Roman-Germanic Philology, Khiva, Uzbekistan; Kavitha G.L., Kmct Institute of Emerging Technology and Management, Department Cse, Kerala, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-833159610-1;
- Format
- online
- Language
- English
- Type
- Conference paper
Collection
Citation
Kumar Singh, Samit; Chaurasia, Amrita; Ruzimbaevich, Aybek Kalandarov; Kavitha, G.L., “AI-Powered Smart Waste Management Systems Using Cloud Analytics,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/25923.