首页 >> 信息 >> 活动预告 >> 正文
【学术报告】Surface defect detection using deep learning
来源:淮师新闻网 2017-12-26 15:46:47 跟帖 打印

主讲人:张勇兵

 间:2017年12月26日(周二)下午4点

 点:理北204

 办:科技处

微纳光学成像重点实验室

江苏省现代检测技术与智能系统重点实验室

物理与电子电气工程学院

报告内容简介:It is a complex and expensive task to detect surface defects and damages in manufacturing processes such as silicon films, steel plates, etc. These damages usually are inspected manually to determine whether they exceed some predefined thresholds that can be acceptable. Deep learning approaches such as deep neural networks, have been proven to be more efficient than traditional methods and can be applied to many fields including image recognition and computer vision. In this research, we apply a convolutional neural network (CNN) to the defect detection problem for silicon films in semiconductor manufacturing. In order to speed up the neural network computation, we implemented the neural network training on a GPU environment. We show that, with three classes of data images, i.e., defect free, bubble, and scratch, and each class with 500 randomly generated samples, the defect classification can be achieved with an accuracy higher than 99%. In order to improve the classification speed, we consider to first allocate the defect area and then apply the CNN to perform the classification.

报告人简介:Yongbing Zhang received his Ph.D. degree in Computer Science from the University of Electro-Communications, Tokyo. He joined the Institute of Policy and Planning Sciences, University of Tsukuba as an Assistant Professor in 1996 and is now a Professor of Graduate School of Systems and Information Engineering, University of Tsukuba. His research interests include distributed and parallel computer systems, communication networks and performance evaluation. 


(作者:雷枫 审核:刘仁明)
关键词:学术报告
本文来源:淮师新闻网责任编辑:卜阳
微博达人:
网友跟帖:共有条跟帖
匿名
热点
国奖风采|唐娜:生如夏花 “娜”般灵动
国奖风采|唐娜:生如夏花 “娜”般灵动
  青春明媚,正如夏花绚烂,穿梭在斑驳阳光里的她,微微一笑,“娜”般灵动。尼采说:“每一个不曾起舞的日子,都是对生命的辜负。”而她认为,如果要起舞,就要带着饱满的激情,演绎最完美的舞姿。青春壮丽如诗,实干苦干以成。如果人生是一本书,那么大学的时光对唐娜来说便是这本书中最绚丽的篇章;如果人生是一条路,那么唐娜在这条路上不忘初心,只顾风雨兼程。
国奖风采|杨阳:满园花菊郁金黄 中有孤丛色似霜
国奖风采|杨阳:满园花菊郁金黄 中有孤丛色似霜
  杨阳,女,汉族,1994年9月出生,中共党员,淮阴师范学院文学院汉语言文学师范专业2013级学生。曾任学校学生委员会团总支书记、文学院学生会主席、采菊诗社社长。获国家奖学金、
  • 二十四节气:小寒
  • 二十四节气:冬至
  • 二十四节气:大雪
  • 二十四节气:小雪
  • 二十四节气:立冬
  • 二十四节气:霜降
  • 二十四节气:寒露
  • 二十四节气:秋分
  • 二十四节气:白露
  • 二十四节气:处暑
  • 二十四节气:立秋
  • 二十四节气:小暑
  • 二十四节气:夏至
  • 二十四节气:芒种
  • 二十四节气:小满
  • 二十四节气:立夏
  • 院系
    【喜迎教师节】桃李报春晖 片语寄深情
    【喜迎教师节】桃李报春晖 片语寄深情
      #教师节#在第三十个教师节即将来临之际,音乐学院开展“桃李报春晖 片语寄深情”教师节感恩活动。崭新的音乐楼里,活跃着同学们给老师送赠言的身影。