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Status: Unchecked ×Keyword: defect detection ×Clear all

2 claims from 1 paper

1. Engineering › Industrial Vision Systems and Defect Detection

   A review on modern defect detection models using DCNNs – Deep convolutional neural networks

   Tulbure, Tulbure and Dulf · Journal of Advanced Research · 2021

   A review of popular deep-learning object detection models that can be re-purposed for defect detection, with a short summary of compression techniques and a YOLOv4 experiment on industrial cables.

   Unchecked2 claims
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   1. UncheckedIn the authors' experiment, the YOLOv4 object detection model was trained and re-purposed to detect industrial cables in several hours.“Moreover, in the experiment performed the YOLOv4 model was trained and re-purposed for industrial cable detection in several hours.”
   2. Unchecked“The computing needs could be fulfilled by a general purpose computer or by a high-performance desktop setup, depending on the specificity of the application.”