Automated Waste Segregator
Atharv Gavali
, Sahil Raut , Shivam Rudra , Prof. Shailesh Jadhav
Waste management, Image processing, Waste segregation, Electronics, Microcontroller.
Automated Waste Dustbins utilize IoT, AI, and computer vision for efficient waste management. They feature multiple
compartments, sensors, and automatic lid mechanisms for real-time waste sorting. Computer vision and AI algorithms
accurately identify and segregate waste. Smart Waste Dustbins monitor fill levels and offer a user-friendly interface for public
engagement. Sensors include ultrasonic, moisture, and metal sensors for proximity, moisture analysis, and metal item
segregation. Automated Waste Dustbins revolutionize waste management, enhancing efficiency in segregation, recycling, and
collection processes, leading to reduced environmental impact and improved resource utilization for sustainable communities.
Volume 12
Issue 4,
April-2025
Pages : a674-a677
Paper Reg. ID: TIJER_157351
Published Paper Id: TIJER2504101
Downloads: 000319
Research Area: Science and Technology
Country: Pune, Maharashtra, India
ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: TIJER (IJ Publication) Janvi Wave