---
res:
  bibo_abstract:
  - "<jats:p>\r\n                    In this study, we examined the possibility of
    detecting different types of materials that contaminate carcasses during industrial
    pig slaughter using video image analysis and artificial intelligence (AI). A camera
    system was installed between evisceration and\r\n                    <jats:italic>postmortem</jats:italic>\r\n
    \                   meat inspection on an industrial pig slaughter line with a
    capacity of 12,000 pigs per day. The pigs were photographed using five 2D cameras,
    and the images were analysed for contamination using an AI-based algorithm. The
    setup, which was developed and installed by CLK GmbH, performed under industrial
    conditions. In order to train the system, specifications were created for the
    most frequently occurring types of contamination, namely, intestinal contents,
    bile, stomach contents, and tubular rail fat. Afterward, the system was trained
    using annotated images. In principle, the system was able to recognize all types
    of contamination on the camera images; even pinhead-sized contaminations were
    visible. The agreement between the algorithm and the results of an expert assessor
    who assessed the images online agreed in 60% of the judgements. The agreement
    between experts using onsite assessment and those using online assessment by images
    was 73%. Thus, the kappa measure of agreement was κ = 0.1215 (p = 0.0199). Significantly
    higher recognition rates appear to be possible by adjusting the algorithm and
    increasing the number of training images. Thus, the system is a useful tool to
    preselect contaminated carcasses and to support\r\n                    <jats:italic>postmortem</jats:italic>\r\n
    \                   inspection.\r\n                  </jats:p>@eng"
  bibo_authorlist:
  - foaf_Person:
      foaf_givenName: Janna
      foaf_name: Tholen, Janna
      foaf_surname: Tholen
  - foaf_Person:
      foaf_givenName: Alina
      foaf_name: Kirse, Alina
      foaf_surname: Kirse
  - foaf_Person:
      foaf_givenName: Alexander
      foaf_name: Voß, Alexander
      foaf_surname: Voß
  - foaf_Person:
      foaf_givenName: Gereon
      foaf_name: Schulze Althoff, Gereon
      foaf_surname: Schulze Althoff
  - foaf_Person:
      foaf_givenName: Lea
      foaf_name: Strotkötter, Lea
      foaf_surname: Strotkötter
  - foaf_Person:
      foaf_givenName: Lothar
      foaf_name: Kreienbrock, Lothar
      foaf_surname: Kreienbrock
  - foaf_Person:
      foaf_givenName: Matthias
      foaf_name: Upmann, Matthias
      foaf_surname: Upmann
      foaf_workInfoHomepage: http://www.librecat.org/personId=12666
  bibo_doi: 10.3389/frfst.2026.1698416
  bibo_volume: 6
  dct_date: 2026^xs_gYear
  dct_isPartOf:
  - http://id.crossref.org/issn/2674-1121
  dct_language: eng
  dct_publisher: Frontiers Media SA@
  dct_title: Detection of carcass contamination using video image analysis during
    industrial pig slaughter@
...