FPGA Driven Artificial Intelligence for Traffic Lights
Electrical Engineering
Team 26
Jacob Benavides, Nursultan Maiden, Ximena Arroyo, Caiden Goeppinger
Summary
An FPGA-driven artificial intelligence traffic-light system uses real-time logic on the FPGA and sensor data processed by an STM32 microcontroller to adjust light patterns based on actual traffic conditions. The FPGA handles fast decision updates, while the STM32 manages timing and input signals, working together to reduce wait times and keep traffic flowing smoothly.