Inspiration
We never have designed nor heavily used AR and as such, we wanted to try our strength in this technology, because of its wide possibilities and the extreme cool factor.
What it does
We have built an AR App for scanning codes and showing information via augmented reality, about the state of machines in factories, food ingredients and allergens on shelves in supermarkets and many more. It's a great tool, but it's even better with our backend paired with the dashboard. It can provide higher management with current line production and show where people are walking around shops with a heatmap, that could be built with cheap and easy to maintain BLE triangulation beacons around the store.
How we built it
For the AR app, we have used React-Native for easy and fast design with great cross-platform support. Our backend is based on Django and PostgreSQL and it's paired with Angular frontend, which made our beginning setup much easier.
Challenges we ran into
Our biggest problem was data processing between the backend and frontend. We also had small problems with getting a stable and flashy AR display.
Accomplishments that we're proud of
We are very proud that we managed to develop an actual working AR app side by side with a web app in only 24 hours :)
What we learned
Developing an AR app is not as hard as it seems, and at the same basic web, information exchange is not as we have thought.
What's next for AReader
We think that because of the versatility, AReader could be easily implemented in many other fields such as car dealerships, ornithology or an airport. There is also a huge opportunity in our heatmaps, that could be used for making optimization models and predictions, for example, we could use it to make queues take less time and improve the overall shopping experience.
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