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Related Experiment Videos

Image processing for a tactile/vision substitution system using digital CNN.

Chien-Nan Lin1, Sung-Nien Yu, Jin-Cheng Hu

  • 1Department of Electrical Engineering, National Chung Chen University, Taiwan. cnlin@samlab.ee.ccu.edu.tw

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|October 20, 2007
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This study introduces a digital Convolutional Neural Network (CNN) for tactile/vision substitution systems (TVSS). This CNN processor efficiently extracts image features, offering a powerful tool for the visually impaired.

Area of Science:

  • Computer Engineering
  • Biomedical Engineering
  • Image Processing

Background:

  • Tactile/Vision Substitution Systems (TVSS) are crucial for the visually impaired.
  • Existing systems require efficient image processing components.
  • Convolutional Neural Networks (CNNs) offer parallel processing and implementation advantages.

Purpose of the Study:

  • To propose and implement a digital CNN as an image processor for TVSS.
  • To leverage CNN's capabilities for feature extraction from images.
  • To enhance the efficiency of TVSS for visually impaired individuals.

Main Methods:

  • A digital CNN processor was designed and implemented using a template combination method.
  • The CNN executed wavelet down-sampling filtering and half-toning operations.

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  • The processor was realized on a XILINX VIRTEX II 2000 FPGA board.

    • Main Results:

    • The CNN processor demonstrated capability in character and human subject recognition.
    • Experiments showed impressive results in various environmental conditions.
    • The integrated approach of embedding two functions into one CNN was successful.

    Conclusions:

    • The proposed digital CNN processor is a powerful component for TVSS.
    • This technology can significantly improve systems designed for the visually impaired.
    • The implementation on FPGA offers a practical solution for real-world applications.