Problem
Raidar was developed as a tool to help cyclists navigate the 21st century.
We blended android powered XReal glasses, Orbec monocular camera, and ONNX-yolov8 object detection into a bike helmet to help cyclists tackle 3 distinct problems:
🔦 Poor Visibility: a "second set of eyes" to see objects, know what, and how close they are (in daytime or nighttime).
🌏 Confusion: project map route and directions to ease navigation burden.
💕 Engage: an immersive display of key biometrics such as heart rate/EKG.
We envision Raidar becoming a fully integrated helmet with lightweight XReal glasses that can serve as the ✨ gold standard of cyclist style and performance.
What it does?
Raidar is an augmented reality (AR) platform.
Raidar integrates XReal glasses and Orbec monocular camera mounted on a bicycle helmet.
We embedded ONNX-Yolov8-object-detection to track and identify objects in the scene.
Our algorithm is capable of classifying over 200 distinct objects in real-time. We anchored EKG/heart rate, time, speed, metrics onto our AR display.
Problem Exploration
Affinity Map
In the ideation phase, we started with an affinity map to identify the main problems and grouped them together on the Miro board.
Vision
