Project Title
Team
- E/21/019, Adikari A.M.H.S.,(e21019@eng.pdn.ac.lk)
- E/21/371, Senawirathne D.M.W.J.I,(e21371@eng.pdn.ac.lk)
- E/21/416, Uthpala J.A.S,(e21416@eng.pdn.ac.lk)
- E/21/433, Wickramanayake N.S.,(e21443@eng.pdn.ac.lk)
Table of Contents
- Introduction
- Solution Architecture
- Hardware & Software Designs
- Testing
- Detailed budget
- Conclusion
- Links
Introduction
Motorcycle riders are among the most vulnerable road users, with accidents often caused by limited situational awareness, delayed reactions, and driver distraction. This project proposes the development of a smart motorcycle helmet system aimed at significantly enhancing rider safety while minimizing cognitive and visual load. By combining sensor fusion, real-time hazard detection, and carefully designed human–machine interaction, the smart helmet delivers critical information through eyes-free and hands-free feedback methods such as haptics, audio, and minimal HUD visuals. The system prioritizes essential alerts, adaptive warnings, and context-aware assistance to ensure that riders remain focused on the road at all times. Through intelligent design and embedded safety features, the proposed smart helmet seeks to reduce accident risk, improve riding awareness, and create a safer and more intuitive riding experience.
Solution Architecture
High level diagram + description
Hardware and Software Designs
Detailed designs with many sub-sections
Testing
Testing done on hardware and software, detailed + summarized results
Detailed budget
All items and costs
| Item | Quantity | Unit Cost | Total |
|---|---|---|---|
| Sample item | 5 | 10 LKR | 50 LKR |
Conclusion
What was achieved, future developments, commercialization plans