Jiahao Chang ¹ and Soroush Mirzaee ² , ¹ USA, ² California State Polytechnic University, USA

Axon AI is a helmet system designed to help detect concussions in football players [1]. Every year, players can get long-term brain damage because they don’t realize they are hurt or they are not checked out quickly. Our system uses small hardware parts like Particle Boron microcontrollers, gyroscopes, and pressure sensors, along with a Firebase database and a mobile app made with Flutter Flow, to gather and analyze impact data instantly [2]. When there’s a dangerous hit, the system immediately alerts coaches and trainers, so they don’t have to rely solely on how players feel or what they say they are hurt. We faced some challenges like making sure the helmet fits, fixing network issues, and setting the right thresholds for alerts. We improved the design through testing and adjustments. Tests showed that the sensors were accurate and that the data was sent reliably under good network conditions. Overall, Axon AI looks promising as a tool to detect concussions quickly, helping coaches make faster decisions and keeping players safer from long-term injury

Hardware, Artificial Intelligence, Flutter, Football Players