The increasing reliance on keyless access systems in modern vehicles, such as proximity sensors, wireless fobs, and smartphone-based digital keys, has raised serious security and usability concerns in the automotive industry. These systems, while convenient, are vulnerable to attacks, device loss, and user inaccessibility. In response to these limitations, the project developed by Stellantis and Centro Ricerche Fiat (CRF) with the Dipartimento di Automatica e Informatica (DAUIN) of Politecnico di Torino aims to enable secure and contactless vehicle access through biometric identification, using a combination of face and gait recognition in real-world conditions. This scenario, described as “recognition in the wild”, poses several challenges, as biometric models must cope with variations in lighting, pose, background, and occlusions.