MOTEX is a predictive rider assistance concept designed to improve urban motorcycle safety in complex traffic situations. The system combines helmet-integrated hardware, computer vision, and real-time warning logic to help riders identify potential hazards earlier and respond more effectively.

What made the project innovative was its focus on anticipation rather than reaction alone. Instead of only responding when danger had already fully emerged, MOTEX explored how technology could support earlier awareness in situations where visibility, timing, and rider decision-making are critical.

The project brought together applied machine learning, engineering, prototyping, and user-centered design. It demonstrated our ability to translate a meaningful safety challenge into a concrete system concept that was technically grounded, practically testable, and strongly received by partners, juries, and stakeholders.