Inspiration
We want to help visually impaired people in countries lacking modern and necessary infrastructure to accommodate their needs. We found out that it's not only 3rd world countries that might benefit from additional aid, but also large cities like New York with a large population of visually impaired that could certainly use a safety and quality of life upgrade.
What it does
Uses machine vision to analyze the environment and gives the user the needed feedback to safely cross intersections. Notifies the user when they get close to an intersection. If there are no traffic lights, checks for cars.
How we built it
Frontend: Webapp using HTML, CSS, JavaScript and Jquery Backend: Python (flask and geocoder), Azure Computer Vision
Challenges we ran into
Browser push notifications, accurate geo location
Accomplishments that we're proud of
Learning and implementing a new framework, linking of front- and backend
What we learned
New framework (flask), improve our knowledge of REST-APIs
What's next for TrafficSight
Develop native apps for iOS and Android, improve functionality, expand use of computer vision beyond traffic lights, migrate to a server
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