Inspiration

The main reason for choosing this topic was the lack of traffic sign management in the city. Our city does not yet have such management and our application can help them. Secondly, but also a very important fact is that the existing navigation does not navigate according to the signs. You certainly have a lot of experience with the navigation sending you to a one-way street from the wrong side or even telling you to turn at a place with no turn. Our application can bring the desired improvements.

What it does

We created sign traffic management system with an artificial intelligence that recognizes traffic signs according to the photo. The system offers the possibility to take a photo of the traffic sign and send it for evaluation. Then we add it to the cloud where we store all our data. We can see the stored data in a table or directly on the map where it also shows us the location of the traffic sign.

How we built it

We built it with magic and strong automatization pipelines.

Challenges we ran into

  • docker setup
  • firebase setup
  • operations stuff

Accomplishments that we're proud of

We are proud of our custom made advanced AI for recognizing traffic signs and our modern and intuitive frontend. We are proud of opening possibilities for future cities and navigations systems to gain more traffic insights to improve quality of everybody life.

What we learned

We learned to use magic Google Firebase tools, how to deploy machine learning model or how to use Google Maps API and we gained experience in making our good ideas to come true.

What's next for Signica

  • We want to expand our API and datasets of traffic signs to allow access for navigations and map applications.
  • We want to deliver traffic signs management tool for cities. They will be able to get notification of dameged signs, upload signs evidence, mange signs placing and much more.
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