Meet our product.
Our assistive headband empowers the visually impaired to swim and run. By tracking the T-marker in pools or sidewalks and nearby objects on runs, our device gives instant directional guidance via bone conduction. With two hours of battery life, a mobile app for connection, and offline capabilities, it is the ultimate guide for independent exercise.
We envision a world where everyone has the freedom, independence, and confidence to go outside for a run or dive in the pool for a swim.
A comprehensive and dual-purpose solution
Mobile app
First, connect to the headband with bluetooth using our mobile app.
Fast models, haptic and audio feedback, minimal delay.
Our innovative bone conduction headphones deliver clear audio feedback by transmitting sound directly through the skull bones, bypassing the ears entirely.
Secure and convenient
With models that run locally, nothing is sent to the cloud. Additionally, our open ear design with bone conduction headphones allows full situational awareness. Lightweight and easy to use, our headband maximizes security and comfort.
Multi-purpose
Use our device to swim or jog. Find the workout that you like best.
Our custom 3D-printed prototype is lightweight, comfortable, and affordable. We are here to make exercise easy, enjoyable, and accessible for all. With an adjustable strap, anyone can wear our headband.
In future designs, we hope to use a custom PCB to decrease on size and weight.
We are innovators. We are here to pave the way for the next generation of assistive technology.
Our bone conduction technology transmits sound directly through the skull bones to the inner ear, bypassing the eardrum. This allows users to receive audio guidance while keeping their ears open for environmental awareness - critical for safety during exercise. This is also the only way to effectively transmit audio underwater.
Using computer vision algorithms and a high-speed camera, our device tracks pool lane markers and sidewalk edges in real-time. The neural network models run directly on device for minimal latency, providing immediate directional feedback to keep users safely on track. Specifically, we use PIDNet semantic segmentation and YOLOv11 object detection.
"This product has the potential to be very rewarding for these visually impaired individuals by giving them a much less frustrating experience and encouraging them to stay active."