This research presents a deep learning-based approach for infant pain assessment and it was conducted in LINKS Foundation in collaboration with the Neonatal Unit of AO Ordine Mauriziano Hospital and the Pediatric Emergency Department of Regina Margherita Hospital, all based in Turin. Since young children are unable to communicate verbally the experience of pain, accurate pain assessment using validated tools is crucial to determine the most effective pain management strategies. Traditional pain assessment relies on the use of pain scales that consider behavioural, physiological, and contextual indicators, but none of these scales has yet emerged as the gold standard. The use of these tools is also limited by the lack of objectivity and repeatability of the assessment, which depends on the experience of healthcare professionals and the simultaneous monitoring of numerous parameters.