Computer Vision Adoption

Computer Vision Adoption is the systematic integration and utilization of computer vision technologies—encompassing methods, models, frameworks, or systems designed for automated visual data interpretation—within organizational, industrial, or research contexts to achieve specific objectives, distinguished from broader artificial intelligence adoption by its exclusive focus on visual perception capabilities.

52

Publications

2.8K

Citations

204

Authors

98

Institutions

Publications per year

2017–2026

49

Authors

204

  1. AM
    Alex Mihailidis

    University of Toronto, Canada

    2 publications · 323 citations

    2

    h-index

  2. KM
    Kirill M. Arzamasov

    Russian Scientific Center of Surgery, Russia

    2 publications · 38 citations

    2

    h-index

  3. WC
    Wilson Ceron

    Universidade Federal de São Paulo, Brazil

    2 publications · 267 citations

    2

    h-index

  4. MD
    Mathias‐Felipe de‐Lima‐Santos

    Universidade Federal de São Paulo, Brazil

    2 publications · 267 citations

    2

    h-index

  5. JB
    Jennifer Boger

    University of Waterloo, Canada

    2 publications · 323 citations

    2

    h-index

1–5 of 204

Venues

  1. Automation in Construction

    2 publications · 138 citations

    2

    h-index

  2. IEEE Access

    2 publications · 44 citations

    2

    h-index

  3. Journal of Cleaner Production

    2 publications · 97 citations

    2

    h-index

  4. Artificial Intelligence Surgery

    AIS · 1 publications · 154 citations

    1

    h-index

  5. Frontiers in Public Health

    1 publications · 28 citations

    1

    h-index

1–5