Pratik Maurya 1
Chinmay Gaikawad 1
Suyash Salvi 1
1
 
Vasantdada Patil Pratishthan’s College of Engineering, Mumbai, Maharashtra, India
Publication typeJournal Article
Publication date2022-03-15
SJR
CiteScore
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ISSN25819429
Abstract

The system is an AI-ML image recognition-based application that gives Quality Control and Quality Assurance functionality at the same time to the small-scale industries. The system continuously scans the product for any defects, anomalies, imperfections, damages, foreign substances, or any other non-standard qualities on the product. The system basically is a governing/supervising authority that keeps that fact in check that the standard procedures and standard quality has been maintained throughout the production. This system works automatically and there is little to no human input required. It is fully automatic and requires no human input. There are no chances of error that are very plausible in a human-assisted or human-moderated system. The system only requires regular maintenance from a well-trained technician and no further human input. The system is smart and gives warnings, can halt production when needed for the QA.

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GOST Copy
Pratik Maurya, Chinmay Gaikawad, Suyash Salvi Visual Inspection for Industries // International Journal of Advanced Research in Science Communication and Technology. 2022. pp. 87-89.
GOST all authors (up to 50) Copy
Pratik Maurya, Chinmay Gaikawad, Suyash Salvi Visual Inspection for Industries // International Journal of Advanced Research in Science Communication and Technology. 2022. pp. 87-89.
RIS |
Cite this
RIS Copy
TY - JOUR
DO - 10.48175/IJARSCT-2827
UR - http://ijarsct.co.in/mari2.html
TI - Visual Inspection for Industries
T2 - International Journal of Advanced Research in Science Communication and Technology
AU - Pratik Maurya
AU - Chinmay Gaikawad
AU - Suyash Salvi
PY - 2022
DA - 2022/03/15
PB - Naksh Solutions
SP - 87-89
SN - 2581-9429
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@article{2022_Pratik Maurya,
author = {Pratik Maurya and Chinmay Gaikawad and Suyash Salvi},
title = {Visual Inspection for Industries},
journal = {International Journal of Advanced Research in Science Communication and Technology},
year = {2022},
publisher = {Naksh Solutions},
month = {mar},
url = {http://ijarsct.co.in/mari2.html},
pages = {87--89},
doi = {10.48175/IJARSCT-2827}
}