Intelligent and secure access to vehicles is a crucial aspect of the evolving automotive industry, especially in times where the integration of deep learning technologies can enhance both accuracy and efficiency. This research is part of a broader activity in collaboration with Centro Ricerche Fiat (CRF) and Stellantis addressed also through a separate thesis work, which aims to explore ways to redefine user experience and security in situations where conventional access tools, such as keys or phones, may be unavailable. The focus is on developing a system capable of detect, recognize, and verify the identity of vehicle owners based on their biometric traits, while they are walking towards the vehicle in an unconstrained environment (performing so called recognition in the wild).