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An Industrial Defect Detection Platform Based on Rapid Iteration

  • Jianchao ZhuEmail author
  • Dong Cheng
  • Qingjie Kong
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11903)

Abstract

With the improvement of the precision of industrial cameras and the popularity of applications, the visual inspection model method of deep learning is more and more widely used in the field of industrial inspection. According to the analysis of the basic needs of the current industrial inspection field, we found that many need to carry out rapid detection and iteration of small data sets. We propose a platform model that is more in line with current industrial inspection production. And the model is based on many convolutional neural network architectures, including spatial transformer network, Faster-RCNN, YOLO, etc.

Keywords

Industrial detection Deep learning Rapid iteration 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.East China Normal UniversityShanghaiChina
  2. 2.Riseye Intelligent Technology Co., Ltd.ShenzhenChina

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