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FASCNet: An Edge-computational Defect Detection Model for Industrial Parts

  • 【作者】Jie Li,Rui Wu,Shuai Zhang,Yanli Chen,Zhicheng Dong
  • 【作者单位】1School of Electrical and Information Engineering, Chongqing University of Science and Technology, Chongqing, China 2China National Tobacco Corporation Chongqing Company Youyang Branch, Chongqing, China 3School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China 4the Advanced Technology Research Center, Tibet Autonomous Region Plateau Complex Environmental Information Transmission and Processing Engineering Research Center, Tibet University, Tibet, China
  • 【年份】2023
  • 【页码】1
  • 【关键词】Feature extraction Image edge detection Computational modeling Tensors Internet of Things Inspection Image color analysis 
  • 【摘要】 Online inspection of industrial parts becomes increasingly important for factories to improve production quality, where small sizes and high computations increase difficulties in defect detection process. In order to solve these issues, we propose a ...
  • 【文献类型】 期刊
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