Fault Detection In Bottle Caps And Label Alignment Using Convolutional Neural Network-Reference-Cited by-同舟云学术

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Fault Detection In Bottle Caps And Label Alignment Using Convolutional Neural Network

Published:2023-01-05 Issue: Volume: Page:
ISSN:
Container-title:2023 Third International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
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Author:

Tatu Sapana Indarchand¹,Singh Shashank Kumar²,Bansod Saurabh³,Pal Prashant²

Affiliation:

1. National Institute of Electronics and Information Technology,Department of EDT,Aurangabad,India

2. National Institute of Electronics and Information Technology,Scientist-‘B’,Aurangabad,India

3. National Institute Of Electronics and Information Technology,Scientist-‘C’,Aurangabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10117587/10117572/10118182.pdf?arnumber=10118182

Reference5 articles.

1. Vision-based Liquid Level Detection in Amber Glass Bottles using OpenCV

2. An Automated Computer Vision Based System for Bottle Cap Fitting Inspection

3. Detecting faulty bottle caps using CNN model

4. The development of prototype of automated bottle caps visual inspection system

5. Design of Bottle Cap Detection System Based on Image Processing

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Systematic Literature Review on Artificial Intelligence and Explainable Artificial Intelligence for Visual Quality Assurance in Manufacturing;Electronics;2023-11-08

2. Real-Time Automated Detection of Errors in the Product Labels Using Image Processing and OCR;2023 International Conference on Ambient Intelligence, Knowledge Informatics and Industrial Electronics (AIKIIE);2023-11-02

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