Donations for the project will research and develop a prototype digital technology for safer motorcycle riding. to delivery motorcycle riders in Bangkok1group
Period of time
Feb 5, 2025 - Dec 31, 2025Location
SDG Goals
Beneficiary groups of the project
Motorcycle accidents account for 90% of all road accidents, most of which are caused by the errors of motorcycle riders themselves or other drivers. This project aims to study and develop a prototype safety sensor that can be mounted on a helmet to alert riders of oncoming vehicles from the side and rear, thereby enhancing safety by helping them avoid collisions from vehicles in blind spots.
Social issues
Over 90% of road accidents in Bangkok involve motorcycles, causing more than 140,000 injuries per year, with an average of 800–900 fatalities or disabilities annually. Approximately 3–5% of these accidents happen to riders working for food and parcel delivery apps.
The main cause of this issue arises from “blind spots,” where motorcycle riders cannot see vehicles approaching from the side or rear—especially when lanes are changed suddenly or at high speeds. This lack of visibility prevents riders from noticing and reacting in time.
Although traditional side mirrors help reduce some blind spots, they cannot fully cover every angle around the rider. Incorrect mirror adjustments, obstruction from helmets, and poor lighting or weather conditions can all lead to misjudging the situation.
Finally, reckless driving behaviors—such as failing to keep a safe distance or neglecting to use turn signals—further increase the likelihood of accidents. This project therefore seeks to develop a helmet-mounted sensor system to warn and prevent collisions from blind spots, giving riders the chance to see and avoid danger, thereby reducing overall road accident risks.
Approaches to addressing issues
Research and develop a prototype helmet-mounted sensor to warn motorcycle riders of potential accidents.
The program will be developed to be able to capture the distance of near and far objects through the mobile camera and notify on the mobile screen that there is a car approaching. This will be more convenient to use because it does not require additional equipment. It can be used with the user's mobile device.
Operational Plan
Conduct discussions and interviews with food delivery rider to identify problems
Research and develop one set of prototype helmet sensors
Test the prototype device with food delivery riders
Budget Plan
| Item | Quantity | Amount (THB) |
|---|---|---|
| Study and develop one set of prototype helmet sensors | 1group | 272,727.00 |
| Program Development 1. A screen program for Android that displays alerts when a vehicle is approaching. 2. A video analysis program for detecting near and far distances and sending signals to the screen program. 3. Program testing and improvement steps with real users and importing to the Android Store. | 1Activity | 600,000.00 |
| Total Amount | 872,727.00 | |
| Taejai support fee (10%) | 87,272.70 | |
Project manager
Kris is currently a freshman college student with a pre-major in Robotics & Mechanical Engineering at the University of Michigan, Ann Arbor. He was a former three-time Thailand national VEX Robotics Champion in High School and is currently active member of the Autonomous Roboti Vehicle club, the Mars Rover Club and the E-racing club at the University of Michigan. Sean is a grade-9 high school student at International School Bangkok. He is currently the president of Robotics for Kids Club at the school with the objective of providing equal access to Robotics learning for children. Like Kris, Sean is also actively competing in the Vex Robotics Tournament in Thailand.
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