Implementation of SIFT for detection of electronic waste

  • Authors

    • A Roshna Meeran
    • V Nithya
    2018-03-19
    https://doi.org/10.14419/ijet.v7i2.8.10461
  • Electronic waste, HSV, Object recognition, Scale Invariant feature transform.

  • Abstract

    The paper focuses on the investigation of image processing of Electronic waste detection and identification in recycling process of all Electronic items. Some of actually collected images of E-wastes would be combined with other wastes. For object matching with scale in-variance the SIFT (Scale -Invariant- Feature Transform) is applied. This method detects the electronic waste found among other wastes and also estimates the amount of electronic waste detected the give set of wastes. The detection of electronics waste by this method is most efficient ways to detect automatically without any manual means.

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  • How to Cite

    Roshna Meeran, A., & Nithya, V. (2018). Implementation of SIFT for detection of electronic waste. International Journal of Engineering & Technology, 7(2.8), 353-357. https://doi.org/10.14419/ijet.v7i2.8.10461

    Received date: 2018-03-22

    Accepted date: 2018-03-22

    Published date: 2018-03-19