The increasing adoption of electric vehicles (EVs) highlights the growing need for efficient and safe charging systems. A significant challenge in automating these systems is the accurate detection and alignment of the charging socket, especially in high-power environments where manual handling poses safety risks and reduces operational efficiency. This thesis, developed at California State University Los Angeles in collaboration with InnoTech System LLC, focuses on the CCS Type 1 charging socket, a widely adopted standard in North America, with the aim of automating its detection and pose estimation. The motivation for this work arises from the need to automate the charging process to enhance both safety and efficiency.