Low-cost and sustainable Pick and Place solution by machine vision assistance
Author:
Affiliation:
1. Newcastle University,Faculty of Science, Agriculture and Engineering,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9997567/9997506/09997663.pdf?arnumber=9997663
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1. Development of Smart and Lean Pick-and-Place System Using EfficientDet-Lite for Custom Dataset;Applied Sciences;2023-10-10
2. A Comparative Analysis of Cross-Validation Techniques for a Smart and Lean Pick-and-Place Solution with Deep Learning;Electronics;2023-05-24
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