Empty Glass Bottle Defect Detection Based on Deep Learning with CNN Using SSD MobileNetV2 Model-Reference-Cited by-同舟云学术

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Empty Glass Bottle Defect Detection Based on Deep Learning with CNN Using SSD MobileNetV2 Model

Published:2022-12-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)
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Author:

Latina Mary Ann E.¹,Van Russel R. Dela Cruz John¹,Delos Santos Francis D.¹

Affiliation:

1. Mapúa University,School of EECE,Manila,Philippines

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10109352/10109274/10109368.pdf?arnumber=10109368

Reference16 articles.

1. A Survey of Modern Deep Learning-based Object Detection Models;zaidi;Computer Vision and Pattern Recognition,2021

2. Deep Learning vs. Traditional Computer Vision;mahony;Advances in Computer Vision Proceedings of the 2019 Computer Vision Conference (CVC),2019

3. A Mobile-Based Framework for Detecting Objects Using SSD-MobileNet in Indoor Environment;kumar;Intelligence in Big Data Technologies—Beyond the Hype,2020

4. SSD: Single Shot MultiBox Detector;liu;Computer Vision – ECCV 2016,2016

5. Research and implementation of machine vision technologies for empty bottle inspection systems

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1. Transparent objects segmentation based on polarization imaging and deep learning;Optics Communications;2024-03

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