WASTE SEGREGATION USING DEEP LEARNING AND IOT
BHUSHAN P
, LAVANYA M , KUMARASWAMY N , LIKHITHA L MAHESH , JAYASHUBHA J
Waste segregation,YOLOv5, waste management, biodegradable, Non-biodegradable, Deep learning.
The waste segregation using deep learning and IOT paper presents an innovative approach utilizing YOLOv5, a state- of-the-art object detection model, for waste segregation specifically targeting biodegradable and non-biodegradable waste. Waste management is a critical global issue, and efficient segregation is pivotal for sustainable and eco-friendly waste disposal practices. The proposed system leverages the YOLOv5 model to accurately detect and classify various types of waste items in real-time. By focusing on biodegradable and non-biodegradable waste, the system identifies and sorts these categories with high precision. The implementation of YOLOv5 for waste segregation demonstrates promising results in automating the sorting process, enhancing waste management practices, and contributing to a cleaner and more sustainable environment. The study showcases the effectiveness and potential of leveraging cutting- edge technology in waste segregation for a more efficient and environmentally conscious approach to waste disposal.
"WASTE SEGREGATION USING DEEP LEARNING AND IOT", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.a401-a402, February-2024, Available :https://tijer.org/TIJER/papers/TIJER2402050.pdf
Volume 11
Issue 2,
February-2024
Pages : a401-a402
Paper Reg. ID: TIJER_150769
Published Paper Id: TIJER2402050
Downloads: 000280
Research Area: Science and Technology
Country: banglore, karnataka, 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
