Detection of Micro-defects on Metal Screw Surfaces Based on Faster Region-Based Convolutional Neural Network

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Detection of Micro-defects on Metal Screw Surfaces Based on Faster Region-Based Convolutional Neural Network

The detection of defects in a product is one of required production process for quality control. Currently, the quality control process of metal screws uses many manpower for manual inspection. Hence, this study about to implement faster region-based convolutional neural network (faster R-CNN) to de...

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Bibliographic Details
Published in:	Smart Innovation, Systems and Technologies
Main Author:	Patar M.N.A.A.; Ayub M.A.; Zainal N.A.; Rosly M.A.; Lee H.; Hanafusa A.
Format:	Conference paper
Language:	English
Published:	Springer Science and Business Media Deutschland GmbH 2022
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85121811038&doi=10.1007%2f978-981-16-6482-3_58&partnerID=40&md5=4886afb77d46a8dd8b91abb10632bd07

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