
This research presents a unified FPGA–MCU co-design framework for low-latency smart vending systems. The architecture integrates Xilinx Vivado 2023.1 FPGA simulation with an ESP32 microcontroller for real-time control and telemetry. A mathematical latency–throughput model is derived from pipeline theory and validated through simulation, achieving a 40% latency reduction compared with MCU-only designs. The paper further introduces coin-hopper inventory control, AES-secured communication, and mailbox-based cross-domain synchronization, combining deterministic hardware control with flexible cloud connectivity. This work contributes to the broader field of embedded co-design and IoT automation by demonstrating a scalable hybrid architecture applicable to healthcare kiosks, hostels, and public vending infrastructures.
FPGA, MCU, ESP32, Hybrid Co-Design, Smart Vending Machine, IoT Automation, Low Latency, Embedded Systems, Xilinx Vivado
FPGA, MCU, ESP32, Hybrid Co-Design, Smart Vending Machine, IoT Automation, Low Latency, Embedded Systems, Xilinx Vivado
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