Abstract: This paper presents the development and implementation of a car cockpit automation system utilizing face recognition technology. The primary goal of this project is to enhance user comfort and convenience by automating the adjustment of car settings, including rearview mirrors, steering wheel position, and seat height, based on the identified user. The system integrates a face recognition algorithm implemented in Python using the OpenCV library, with adjustments controlled by an Arduino through serial communication.

Keywords: Car Cockpit, Automation Face Recognition, User Personalization, Automated Adjustments Comfort and Convenience Serial Communication, Vehicle Settings Image Processing System Integration.

| DOI: 10.17148/IARJSET.2024.117110