Automated Visual Inspection for the Fiat 500e Seat Assembly Line: A Deep Learning Case Study at Martur Srl Italy In the era of Industry 4.0, the "Zero Defect" philosophy has become a critical standard in the automotive manufacturing sector. This thesis presents the design, implementation, and evaluation of a real-time automated visual inspection system for the Fiat 500e seat assembly line at Martur Srl (Italy). The primary objective of the study is to overcome the limitations of manual inspection processes and the inefficiencies of the factory's legacy ONNX-based computer vision system, which suffered from low detection accuracy and high maintenance costs.