---
_id: '13696'
abstract:
- lang: eng
  text: 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).
article_type: original
author:
- first_name: L
  full_name: Alban, L
  last_name: Alban
- first_name: 'D. '
  full_name: 'Brandão, D. '
  last_name: Brandão
- first_name: A.C.
  full_name: Dondona, A.C.
  last_name: Dondona
- first_name: 'G. '
  full_name: 'Duffy, G. '
  last_name: Duffy
- first_name: 'S. '
  full_name: 'Ghidini, S. '
  last_name: Ghidini
- first_name: A.
  full_name: ' Kiarie, A.'
  last_name: ' Kiarie'
- first_name: 'J.D. '
  full_name: 'Kich, J.D. '
  last_name: Kich
- first_name: 'D. '
  full_name: 'Meemken, D. '
  last_name: Meemken
- first_name: 'A. '
  full_name: 'Olsen, A. '
  last_name: Olsen
- first_name: 'D. '
  full_name: 'Oorburg, D. '
  last_name: Oorburg
- first_name: M.
  full_name: Veira-Pinto, M.
  last_name: Veira-Pinto
- first_name: 'S. '
  full_name: 'Dang-Xuan, S. '
  last_name: Dang-Xuan
- first_name: Matthias
  full_name: Upmann, Matthias
  id: '12666'
  last_name: Upmann
- first_name: ' B.'
  full_name: ' Blagojevic,  B.'
  last_name: ' Blagojevic'
citation:
  ama: Alban L, Brandão D, Dondona AC, et al. Beyond human vision. Computer vision
    systems offer new, innovative approaches to conducting inspections. <i>Fleischwirtschaft
    international</i>. 2026;41(1):34-39.
  apa: Alban, L., Brandão, D., Dondona, A. C., Duffy, G., Ghidini, S.,  Kiarie, A.,
    Kich, J. D., Meemken, D., Olsen, A., Oorburg, D., Veira-Pinto, M., Dang-Xuan,
    S., Upmann, M., &#38;  Blagojevic,  B. (2026). Beyond human vision. Computer vision
    systems offer new, innovative approaches to conducting inspections. <i>Fleischwirtschaft
    International</i>, <i>41</i>(1), 34–39.
  bjps: <b>Alban L <i>et al.</i></b> (2026) Beyond Human Vision. Computer Vision Systems
    Offer New, Innovative Approaches to Conducting Inspections. <i>Fleischwirtschaft
    international</i> <b>41</b>, 34–39.
  chicago: 'Alban, L, D.  Brandão, A.C. Dondona, G.  Duffy, S.  Ghidini, A.  Kiarie,
    J.D.  Kich, et al. “Beyond Human Vision. Computer Vision Systems Offer New, Innovative
    Approaches to Conducting Inspections.” <i>Fleischwirtschaft International</i>
    41, no. 1 (2026): 34–39.'
  chicago-de: 'Alban, L, D.  Brandão, A.C. Dondona, G.  Duffy, S.  Ghidini, A.  Kiarie,
    J.D.  Kich, u. a. 2026. Beyond human vision. Computer vision systems offer new,
    innovative approaches to conducting inspections. <i>Fleischwirtschaft international</i>
    41, Nr. 1: 34–39.'
  din1505-2-1: '<span style="font-variant:small-caps;"><span style="font-variant:small-caps;">Alban,
    L</span> ; <span style="font-variant:small-caps;">Brandão, D. </span> ; <span
    style="font-variant:small-caps;">Dondona, A.C.</span> ; <span style="font-variant:small-caps;">Duffy,
    G. </span> ; <span style="font-variant:small-caps;">Ghidini, S. </span> ; <span
    style="font-variant:small-caps;"> Kiarie, A.</span> ; <span style="font-variant:small-caps;">Kich,
    J.D. </span> ; <span style="font-variant:small-caps;">Meemken, D. </span> ; u. a.</span>:
    Beyond human vision. Computer vision systems offer new, innovative approaches
    to conducting inspections. In: <i>Fleischwirtschaft international</i> Bd. 41.
    Frankfurt, DFV (2026), Nr. 1, S. 34–39'
  havard: L. Alban, D. Brandão, A.C. Dondona, G. Duffy, S. Ghidini, A.  Kiarie, J.D.
    Kich, D. Meemken, A. Olsen, D. Oorburg, M. Veira-Pinto, S. Dang-Xuan, M. Upmann,  B.  Blagojevic,
    Beyond human vision. Computer vision systems offer new, innovative approaches
    to conducting inspections, Fleischwirtschaft International. 41 (2026) 34–39.
  ieee: L. Alban <i>et al.</i>, “Beyond human vision. Computer vision systems offer
    new, innovative approaches to conducting inspections,” <i>Fleischwirtschaft international</i>,
    vol. 41, no. 1, pp. 34–39, 2026.
  mla: Alban, L., et al. “Beyond Human Vision. Computer Vision Systems Offer New,
    Innovative Approaches to Conducting Inspections.” <i>Fleischwirtschaft International</i>,
    vol. 41, no. 1, 2026, pp. 34–39.
  short: L. Alban, D. Brandão, A.C. Dondona, G. Duffy, S. Ghidini, A.  Kiarie, J.D.
    Kich, D. Meemken, A. Olsen, D. Oorburg, M. Veira-Pinto, S. Dang-Xuan, M. Upmann,  B.  Blagojevic,
    Fleischwirtschaft International 41 (2026) 34–39.
  ufg: '<b>Alban, L. u. a.</b>: Beyond human vision. Computer vision systems offer
    new, innovative approaches to conducting inspections, in: <i>Fleischwirtschaft
    international</i> 41 (2026), H. 1,  S. 34–39.'
  van: Alban L, Brandão D, Dondona AC, Duffy G, Ghidini S,  Kiarie A, et al. Beyond
    human vision. Computer vision systems offer new, innovative approaches to conducting
    inspections. Fleischwirtschaft international. 2026;41(1):34–9.
date_created: 2026-04-20T21:40:59Z
date_updated: 2026-04-30T13:05:04Z
ddc:
- '570'
file:
- access_level: closed
  content_type: application/pdf
  creator: upmann
  date_created: 2026-04-20T21:38:36Z
  date_updated: 2026-04-20T21:38:36Z
  file_id: '13697'
  file_name: 2604_Alban_et_al_2026_SafePorkWorkshop.pdf
  file_size: 2081311
  relation: main_file
file_date_updated: 2026-04-20T21:38:36Z
intvolume: '        41'
issue: '1'
language:
- iso: eng
main_file_link:
- url: https://www.wiso-net.de/browse/Alle%20Quellen/Fachzeitschriften/Lebensmittel/Fleischwirtschaft%20International?preview=FLWI__2026-1&document=FLWI__9267d2ca227ed771626a9d58d5d55754f47031e4
page: 34-39
place: Frankfurt
publication: Fleischwirtschaft international
publication_identifier:
  issn:
  - 0179-2415
publication_status: published
publisher: DFV
status: public
title: Beyond human vision. Computer vision systems offer new, innovative approaches
  to conducting inspections
type: industry_journal_article
user_id: '83781'
volume: 41
year: '2026'
...