FPGA driven intelligent vending solution using Xilinx Vivado

Field-Programmable Gate Array (FPGA) technology advancements have opened the way for creative and clever solutions in a variety of industries. In this study, a cutting-edge FPGA development environment called Xilinx Vivado is used to design and implement an Intelligent Vending Solution. Traditional vending machines are transformed into data-driven, intelligent systems capable of adaptive customer interactions, real-time monitoring, and preventive maintenance. The system incorporates sensor data processing, machine learning methods, and user interface improvements by utilizing FPGA's parallel processing capabilities. The responsiveness, energy efficiency, and user experience of the vending machine are considerably enhanced by utilizing Vivado’s potent capabilities, including as high-level synthesis and hardware/software co-design. The goal of this research is to increase the scalability of the intelligent vending system while also maximizing resource efficiency and guaranteeing strong security measures. The FPGA-driven strategy shows both the viability of real-time intelligent vending and the potential for FPGA technology to fundamentally alter the way that interactive, data-driven retail experiences are created in the future.