Detection of material on a tray in automatic assembly line based on convolutional neural network
Abstract In the process of detecting materials inside a tray in an automated production line, it is necessary to detect not only the known materials and blank space in the designated area, but also the unknown materials misplaced inside the tray. However, the supervised detection algorithm based on...
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2021-11-01
|
Series: | IET Image Processing |
Online Access: | https://doi.org/10.1049/ipr2.12302 |