Cardboard packaging minimization: Autonomous box selection by RGB-depth vision system and complementary deep learning classification-Reference-Cited by-同舟云学术

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Cardboard packaging minimization: Autonomous box selection by RGB-depth vision system and complementary deep learning classification

Published:2024-07-22 Issue: Volume: Page:1-20
ISSN:1073-9149
Container-title:Instrumentation Science & Technology
language:en
Short-container-title:Instrumentation Science & Technology

Author:

Kwon Jimmy¹,Kwon Sungmin²

Affiliation:

1. BASIS Tucson North, Tucson, Arizona, USA

2. Department of Biomedical Engineering, Vanderbilt University, Nashville, Tennessee, USA

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10739149.2024.2379054

Reference21 articles.

1. U.S. Environmental Protection Agency. Containers and Packaging: Product-Specific Data. https://www.epa.gov/facts-and-figures-about-materials-waste-and-recycling/containers-and-packaging-product-specific (accessed Jul 1 2024).

2. U.S. Environmental Protection Agency. Municipal Solid Waste. https://archive.epa.gov/epawaste/nonhaz/municipal/web/html/ (accessed Jul 1 2024).

3. Amazon. Improving Our Packaging. https://sustainability.aboutamazon.com/waste/packaging (accessed Jul 1 2024).

4. Forbes P. 13 Bad Packaging Examples That’ll Make You Cry for the Environment Packgehelp. https://packhelp.com/bad-packaging/ (accessed Jul 1 2024).

5. Levy L. Amazon rolling out package-packing machines that could automate warehouse jobs. https://www.geekwire.com/2019/amazon-rolling-package-packing-machines-automate-warehouse-jobs/ (accessed Jul 1 2024).

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