The model detects the pig carcasses and captures an image of the back of the pig which is dorsal and the side of the pig which is lateral.From this image the AI model can identify different areas of the pig that are of interest, the tail, the flank and the shoulder.From these areas of interest, we are now moving forward to train the model to detect lesions on the carcass of specific interest to animal welfare.
For this we need to train the model to recognize the different lesions of interest, skin lesions from aggression, a hernia or a tail bite etcetera.The end goal is that the models will detect the lesions on the pig carcasses, identify the lesion type and its severity and provide the lesion report for each pig. This information would then be collated to provide reports for the abattoir and each barn on the prevalence of lesions in shipments of pigs.
Dr. Ko says, if we are able to determine a relationship, the automated carcass assessment system will expand animal care assessments by offering information learned from carcasses at slaughter on the handling and management of animals preslaughter and on farm.
Source : Farmscape.ca