UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
Call for Paper
Volume 11 | Issue 4 | April 2024

JETIREXPLORE- Search Thousands of research papers



WhatsApp Contact
Click Here

Published in:

Volume 9 Issue 3
March-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

Unique Identifier

Published Paper ID:
JETIR2203171


Registration ID:
321060

Page Number

b545-b549

Share This Article


Jetir RMS

Title

Implementation of AI for Injector Quality Inspection

Abstract

A fuel injector is an integral part of the fuel injection system. It is a device that actively injects fuel into an internal-combustion (IC) engine by directly forcing the liquid fuel into the combustion chamber at an appropriate point in the piston cycle. Quality inspection of an assembled injector includes checking the injector for dents, rust, cracks, O-ring coloring and cuts, correct assembly, filter screen fitment and damage and cup inspection to name a few. Until now the injector inspection has been performed visually by a human operator. Skilled as they may be , human errors are bound to happen. What may seem as a small and insignificant defect, may cause functioning issues for the engine in the future. This project aims to convert the physical inspection into an automated inspection process seamlessly, to reduce the operator dependency and to ensure 100% quality, by implementing an autonomous and AI driven system with computer vision that will check the injector for aesthetic defects and will give the final injector OK/NOT OK decision, while also ensuring the correct assembly. Thus, transformation of business processes by implementing new digital technologies and automation will result in opportunities for efficiency and will increase revenue.

Key Words

Automated Inspection System, Digital Camera, Image Processing, Computer Vision, Industry 4.0

Cite This Article

"Implementation of AI for Injector Quality Inspection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 3, page no.b545-b549, March-2022, Available :http://www.jetir.org/papers/JETIR2203171.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

"Implementation of AI for Injector Quality Inspection", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 3, page no. ppb545-b549, March-2022, Available at : http://www.jetir.org/papers/JETIR2203171.pdf

Publication Details

Published Paper ID: JETIR2203171
Registration ID: 321060
Published In: Volume 9 | Issue 3 | Year March-2022
DOI (Digital Object Identifier):
Page No: b545-b549
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


Preview This Article


Downlaod

Click here for Article Preview

Download PDF

Downloads

000340

Print This Page

Current Call For Paper

Jetir RMS