@misc{13696,
  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).}},
  author       = {{Alban, L and Brandão, D.  and Dondona, A.C. and Duffy, G.  and Ghidini, S.  and  Kiarie, A. and Kich, J.D.  and Meemken, D.  and Olsen, A.  and Oorburg, D.  and Veira-Pinto, M. and Dang-Xuan, S.  and Upmann, Matthias and  Blagojevic,  B.}},
  booktitle    = {{Fleischwirtschaft international}},
  issn         = {{0179-2415}},
  number       = {{1}},
  pages        = {{34--39}},
  publisher    = {{DFV}},
  title        = {{{Beyond human vision. Computer vision systems offer new, innovative approaches to conducting inspections}}},
  volume       = {{41}},
  year         = {{2026}},
}