UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 10 Issue 4
April-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2304764


Registration ID:
513122

Page Number

h450-h458

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Title

IoT-Based Autonomous Metal Scrap Collection System

Abstract

Many major industrial areas around the globe, use a conventional method to collect the metal scrap which is generated as waste by various companies. The traditional method of metal scrap collection is inefficient, costly, and human-dependent. Manual handling faces many difficulties in handling and providing efficient solutions. A conceptual approach of smart metal scrap collection to provide truck routing solution based on web-system. In this paper, we proposed a fusion of hardware and software to efficiently solve the problem of end-to-end trucking in metal scrap collection. With the help of hardware employed on collection bins located at various locations, all the real-time data can be gathered for the corresponding location. To use this data, data extraction from the database is carried out. Subsequently, data is pre-processed and analysed, and then a suitable algorithm applied results in providing an efficient solution. Based on this a smart efficient truck routing solution is provided with an interactive dashboard which contributes towards a completely organized system. The hardware mainly consists of NodeMCU, Load Cell, HX711 Amplifier, and Power supply mounted on acrylic sheets which showcase the weight with high accuracy. A human interface which is developed by Python, HTML and CSS to represent the results in pie chart form along with the alert notification as per system requirement. Hence the above system helps the user with real-time scrap monitoring, to estimate the metal scrap collection and accordingly to decide the plan of action to solve the problem in the fastest way with full utilization of available capacity.

Key Words

Internet of Things (IoT), Metal scrap monitoring and collection, Waste bins, Webhost database, End-to-End trucking.

Cite This Article

"IoT-Based Autonomous Metal Scrap Collection System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 4, page no.h450-h458, April-2023, Available :http://www.jetir.org/papers/JETIR2304764.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"IoT-Based Autonomous Metal Scrap Collection System ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 4, page no. pph450-h458, April-2023, Available at : http://www.jetir.org/papers/JETIR2304764.pdf

Publication Details

Published Paper ID: JETIR2304764
Registration ID: 513122
Published In: Volume 10 | Issue 4 | Year April-2023
DOI (Digital Object Identifier):
Page No: h450-h458
Country: Mumbai, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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