Skip to main content
SLU publication database (SLUpub)

Research article2021Peer reviewedOpen access

Reliability of remote post-mortem veterinary meat inspections in pigs using augmented-reality live-stream video software

Almqvist, Viktor; Berg, Charlotte; Hultgren, Jan

Abstract

Official meat inspections at remotely situated, small-scale slaughter houses and game handlings establishments fare associated with a relatively high cost of official control per inspected animal. By performing veterinary meat inspections via live-streamed video, this cost could be lowered. We aimed to evaluate how veterinary meat inspections at slaughter can be conducted remotely with the help of a camera-equipped non-veterinary technician on site. Specialized software and augmented reality technology were used. The remote inspection was compared to standard on-site veterinary meat inspection at a large-scale slaughter plant for pigs in Sweden during 2019. The remote and on-site inspectors recorded findings in 400 carcasses and organs arrested for further inspection. The comparison was based primarily on percentage agreement, Cohen?s kappa and prevalence- and bias-adjusted kappa (PABAK) as measures of agreement and reliability. The remote method was shown to display a high level of agreement for clear, easily distinguished findings (e.g. tail lesions, with an agreement of 92.3%, Cohen?s kappa of 0.77 and PABAK of 0.85). For more vague findings and subjective decisions, the performance was slightly lower (e.g. whether or not to condemn a carcass completely, with agreement 75.2%, Cohen?s kappa 0.32 and PABAK 0.50). Remote inspection appears to constitute a viable alternative for post-mortem meat inspection in pigs, given a sufficiently standardized method of inspection and sufficient inspection times. The performance of remote inspection probably depends on which persons use the method.

Keywords

Abattoir; Augmented reality; Digital video communication; Remote guidance; Slaughter; Veterinary meat inspection

Published in

Food Control
2021, Volume: 125, article number: 107940
Publisher: ELSEVIER SCI LTD