Neural networks for bar code positioning in automated material handling

@article{Lo1995NeuralNF,
  title={Neural networks for bar code positioning in automated material handling},
  author={Chih-Chung Lo and C. Chang},
  journal={Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications},
  year={1995},
  pages={485-491}
}
  • Chih-Chung Lo, C. Chang
  • Published 1995
  • Engineering
  • Proceedings IEEE Conference on Industrial Automation and Control Emerging Technology Applications
  • This paper presents an effective method to utilize the specific graphic design of bar codes for positioning objects on conveyor belts without work carriers. A simplified template matching method is utilized to detect the four corners of a bar code. After the four corners are located, an artificial neural network is utilized to acquire the translation, orientation, and vertical depth information of a workpiece for the bar code scanner and robot workstations. This proposed system is successfully… CONTINUE READING
    5 Citations

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