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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM42813

IoT Based Industrial Automation System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM42813

Volume:

9 |

3 |

Mar 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

RR

Rakesh Rathore

PAC

Prof. Anagha Chougaonkar

PHB

Prof. Himanshu Bhiwapurkar

PUC

Prof. Umesh Carpenter

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Abstract

Nowadays industrial automation is playing a very crucial role in every industry. Automation process increases production rate, efficiency, precision and consistency. Along with it also reduces operational cost and need of human work in production of products. Automation requires sensors, actuators and AI/ML algorithms to monitor, optimize and regulate the complete process in real time. Internet of Things (IoT) plays a very vital role or key technology in industrial automation. This paper implemented industrial automation system using IoT. The goal of the proposed system is to drill the object, find the type of object (metal or non-metal) and the color of the object. The Arduino Mega 2560 are connected to sensors (object, color etc.), various industrial equipment’s (conveyor belt, jaw, motors etc.) and communication is taken over the internet. Node MCU ESP8266 microcontroller are also used which can store data on thing speak cloud for online monitoring of the system. The propose automated system can be used for various applications across a variety of industries.

KEYWORDS

Internet of Things Stepper Motor Thing speak Esp-32 Arduino Metal Detector Color Sensor Drilling Machine

Cite This Article

Rakesh Rathore, Prof. Anagha Chougaonkar, Prof. Himanshu Bhiwapurkar, Prof. Umesh Carpenter, "IoT Based Industrial Automation System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 3, Mar 2025.

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Publication Date

3/23/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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