Development of AI based slaughterhouse inspection systems
Thesis type: Experimental
Thesis topic: Development of slaughterhouse inspection systems based on AI
Research activity: Annotation of anatomo-pathological images. Statistical correlations between inspection systems
Applied methods: Computer Vision – Latent Class validation models
Activity start date: 01/06/2025 – 01/06/2026
Additional information: Activity conducted in collaboration with IZSLER
Thesis
Thesis Supervisor: Prof. Sergio Ghidini
