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