The rapid advancement of technology has transformed various sectors, including transportation. Smart transportation systems have gained significant attention due to their potential to enhance efficiency, safety, and user experience. This abstract presents a novel solution called the "Raspberry Pi Enabled Trolley with Human Following Capability" that leverages the capabilities of Raspberry Pi, a low-cost single-board computer, to create an intelligent transportation system. The proposed system aims to provide an automated and userfriendly solution for transporting goods or personal belongings within a defined area while maintaining human supervision. The Raspberry Pi, along with additional sensors and actuators, serves as the core control unit of the trolley, enabling it to navigate autonomously and follow a designated human operator. The trolley's navigation is achieved through computer vision algorithms implemented on the Raspberry Pi. A camera module captures real-time video feed, which is processed to detect and track the human operator.