---
res:
  bibo_abstract:
  - The 15th SafePork Conference was held in Rennes, France, between 6 and 8 October
    2025. One of this year’s pre-conference workshops was dedicated to the modernization
    of meat inspection with a special focus on the potential use of new technologies.
    Traditionally, meat inspection has been performed manually by veterinary inspectors,
    trained to identify diseases, contamination, and any defects in carcasses or viscera.
    Indeed, manual inspection forms the cornerstone of most food safety inspection
    practices. However, manual inspection is inherently subjective, influenced by
    factors such as operator experience, fatigue, and environmental conditions, resulting
    in variability in inspection performance. Moreover, manual inspection is not practical,
    as the slaughter line speeds in abattoirs are very fast. Computer vision systems
    (CVS) and other AI-based methods represent new approaches to inspection. CVS integrates
    the use of high-resolution image acquisition with real-time image analysis, using
    advanced AI algorithms, allowing automated inspection decisions. Such systems
    can potentially improve the quality of the meat inspection process through higher
    objectivity and data continuity, with enhanced scalability. In line with this,
    the European regulations on official control and meat inspection now permit pilot
    projects to explore innovative technologies to enhance and support meat inspection
    (1,2).@eng
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: L
      foaf_name: Alban, L
      foaf_surname: Alban
  - foaf_Person:
      foaf_givenName: 'D. '
      foaf_name: 'Brandão, D. '
      foaf_surname: Brandão
  - foaf_Person:
      foaf_givenName: A.C.
      foaf_name: Dondona, A.C.
      foaf_surname: Dondona
  - foaf_Person:
      foaf_givenName: 'G. '
      foaf_name: 'Duffy, G. '
      foaf_surname: Duffy
  - foaf_Person:
      foaf_givenName: 'S. '
      foaf_name: 'Ghidini, S. '
      foaf_surname: Ghidini
  - foaf_Person:
      foaf_givenName: A.
      foaf_name: ' Kiarie, A.'
      foaf_surname: ' Kiarie'
  - foaf_Person:
      foaf_givenName: 'J.D. '
      foaf_name: 'Kich, J.D. '
      foaf_surname: Kich
  - foaf_Person:
      foaf_givenName: 'D. '
      foaf_name: 'Meemken, D. '
      foaf_surname: Meemken
  - foaf_Person:
      foaf_givenName: 'A. '
      foaf_name: 'Olsen, A. '
      foaf_surname: Olsen
  - foaf_Person:
      foaf_givenName: 'D. '
      foaf_name: 'Oorburg, D. '
      foaf_surname: Oorburg
  - foaf_Person:
      foaf_givenName: M.
      foaf_name: Veira-Pinto, M.
      foaf_surname: Veira-Pinto
  - foaf_Person:
      foaf_givenName: 'S. '
      foaf_name: 'Dang-Xuan, S. '
      foaf_surname: Dang-Xuan
  - foaf_Person:
      foaf_givenName: Matthias
      foaf_name: Upmann, Matthias
      foaf_surname: Upmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=12666
  - foaf_Person:
      foaf_givenName: ' B.'
      foaf_name: ' Blagojevic,  B.'
      foaf_surname: ' Blagojevic'
  bibo_issue: '1'
  bibo_volume: 41
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/0179-2415
  dct_language: eng
  dct_publisher: DFV@
  dct_title: Beyond human vision. Computer vision systems offer new, innovative approaches
    to conducting inspections@
...