129 / 2021-04-11 22:52:39
Deep Learning Based Heat Sealing Quality Inspection
Heat seal;Image processing;Deep learning;Bit plane slicing
Final Paper
宛清 刘 / 长沙理工大学
Abstract: In order to ensure the tightness of the heat-sealing of pharmaceutical packaging, a method of tightness detection based on image processing and deep learning is proposed. The bit-plane slicing method is used for preprocessing, which highlights the less obvious temperature level information of the infrared image. The plane with obvious level information is selected as the data set for training the neural network, and finally the accuracy is calculated by classification and recognition of samples. The experimental results show that this method can effectively classify the actual series, and the accuracy of identifying whether the hot air vent is well-sealed can reach more than 98%, which provides a guarantee for the rejection of defective products on the subsequent heat-sealing production line.
Important Date
  • Conference Date

    Jul 10

    2021

    to

    Jul 12

    2021

  • May 10 2021

    Draft paper submission deadline

  • Jul 06 2021

    Registration deadline

Sponsored By
Changsha University of Science & Technology
Supported By
IEEE Electron Devices Society
IEEE
Contact Information