Computer Vision-based Sorting

Computer Vision-Based Sorting is a method within automated sorting systems that uses digital image processing and pattern recognition techniques to identify, classify, and segregate objects based on visual features extracted from images captured by optical sensors.

185

Publications

7.9K

Citations

672

Authors

268

Institutions

Publications per year

2017–2026

93

Authors

672

  1. TL
    Thomas Längle

    Karlsruhe Institute of Technology, Germany

    4 publications · 89 citations

    4

    h-index

  2. JB
    Jürgen Beyerer

    Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, Germany

    4 publications · 89 citations

    4

    h-index

  3. RG
    Robin Gruna

    Karlsruhe Institute of Technology, Germany

    4 publications · 89 citations

    4

    h-index

  4. IK
    Ilan Karplus

    Agricultural Research Organization, Israel

    4 publications · 204 citations

    4

    h-index

  5. BZ
    Boaz Zion

    Agricultural Research Organization, Israel

    4 publications · 204 citations

    4

    h-index

1–5 of 672

Venues

  1. Computers and Electronics in Agriculture

    10 publications · 963 citations

    9

    h-index

  2. Sensors

    9 publications · 254 citations

    9

    h-index

  3. IEEE Access

    5 publications · 273 citations

    5

    h-index

  4. Transactions of the ASAE

    4 publications · 177 citations

    4

    h-index

  5. Applied Sciences

    3 publications · 87 citations

    3

    h-index

1–5