Skills
Microcontroller Programming
3D CAD & Printing
Timeline
January 2024 | 4 weeks
Project Overview
This project began with a $400 grant from MIT during the IAP (Independent Activities Period), providing an opportunity to experiment with my Arduino kit while addressing a real-world problem. Inspired by a friend’s new e-scooter and the inherent safety concerns, I set out to design a system that would alert riders to objects entering their blind spots—a common issue with vehicles that lack rearview mirrors.
Problem Definition
The lack of rearview mirrors on e-scooters creates significant blind spots, making it difficult for riders to detect approaching vehicles or pedestrians. I envisioned a solution that would act like a guardian angel, monitoring the rider's surroundings and providing alerts when objects entered a dangerous proximity. My goal was to develop a system that could alert the rider through both sound and touch, ensuring a prompt and effective response.
Design Process
After researching various sensor types, including ultrasonic, infrared, and LiDAR, I chose ultrasonic sensors (HC-SR04) for their cost-effectiveness and reliability in noisy environments. The system was designed to trigger two levels of alerts: a medium-level sound alarm when an object approached within 10 feet, and both a high-pitched alarm and a vibration (using a Wii controller motor) when the object was within 5 feet. These components were all controlled by an Arduino Nano.
I started by assembling the electronics, writing a program for the Arduino to manage the sensor inputs and trigger the appropriate alerts based on the proximity of objects. After testing and tweaking the code, I produced a minimally viable product
Prototyping and Mounting
With the electronics functional, the next challenge was determining how to mount the system. I debated between attaching the sensors to the scooter or the rider. Ultimately, I chose a rider-mounted design to make the system versatile for use with various modes of transportation. Using SolidWORKS, I designed a compact box to house the components and 3D printed the enclosure. The sensors were then mounted onto a backpack, allowing for easy and flexible use.
Testing
Testing the system on the road revealed some challenges. While the sensors successfully detected objects, the constant alerts in a busy environment made it difficult for the rider to discern the actual threat level or direction. The system was sensitive to any nearby objects, causing frequent alarms that could overwhelm the rider rather than provide clear guidance.
Project Reflection
This project was a valuable exercise in rapid prototyping and sensor integration, despite the system's limitations in real-world application. The experience underscored the importance of refining sensor logic and feedback mechanisms to avoid overwhelming the user with false positives. While the prototype didn’t achieve all of its goals, it provided significant insights into the challenges of developing effective safety systems for personal mobility devices. Plus, as a bonus, I got MIT to fund a new e-scooter!
