Welcome to IJSDR UGC CARE norms ugc approved journal norms IJRTI Research Journal | ISSN : 2455-2631
IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.15 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Issue: August 2022

Volume 7 | Issue 8

Impact factor: 8.15

Click Here For more Info

Imp Links for Author
Imp Links for Reviewer
Research Area
Subscribe IJSDR
Visitor Counter

Copyright Infringement Claims
Indexing Partner
Published Paper Details
Paper Title: Part Marking Detection Using Machine Learning
Authors Name: Radha Ramesh Tiwari , Sangita Bharkad
Unique Id: IJSDR2010059
Published In: Volume 5 Issue 10, October-2020
Abstract: For Paper presents Faster R-CNN based deep learning implementation of numbering of mechanical parts such as gears. Parts are photographed in real time. In this research works the parts are sorted into three categories- the correctly numbered parts, non-numbered parts and over-ride numbered parts- through image processing followed by deep learning algorithm. For this work Mobile-Net Model on TensorFlow Machine Learning platform to accomplish part identification. Visual inspection validates the technique to 95% accuracy in real time detection.
Keywords: Image Processing, Object Detection, Faster R- CNN, Machine Learning, Deep Learning.
Cite Article: "Part Marking Detection Using Machine Learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 10, page no.385 - 390, October-2020, Available :http://www.ijsdr.org/papers/IJSDR2010059.pdf
Downloads: 000101774
Publication Details: Published Paper ID: IJSDR2010059
Registration ID:192661
Published In: Volume 5 Issue 10, October-2020
DOI (Digital Object Identifier):
Page No: 385 - 390
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

Click Here to Download This Article

Article Preview

Click here for Article Preview







Major Indexing from www.ijsdr.org
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX DOAJ : Directory of Open Access Journals
DRJI Index Copernicus International Scribd DocStoc

Track Paper
Important Links
Conference Proposal
ISSN
DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to GET DOI and Hard Copy Related
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Creative Commons License
This material is Open Knowledge
This material is Open Data
This material is Open Content
Social Media
IJSDR

Indexing Partner