Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.
We are SumoCoders, a Ghent-based webdesign & development firm
The SumosWe participated with the whole team.
wakankdoen.beTwo years ago we also participated in the hackaton with ourapp: Wakankdoen.beOur app won, and, sadly, introdu...
Before our app Ghent was pretty empty
But soon it became more crowded
and more crowded
Until it wasn’t very fun to go to Ghent..
hoedrukist.nuSo we decided to fix this problem, or at least build somethingthat people could use to see how crowded Ghent ...
if you open up the site in your browser, or on your mobile device,you will see at a glance how crowded parts of the city a...
When you open the detailpage of a certain area you will see somepictures and the numbers we based our calculations on
DatasetsSo, what datasets did we use?
GIS Data GhentGIS data provided by the city of Ghent to define our zones.
Parking APIThe parking API, provided by the city of Ghent, where we checkhow many parking-spots are available per parking....
Weather APIA weather-api to show the current weather in Ghent.
Instagram APIThe Instagram Real Time API, to grab recent photo’s and decidethe busyness factor.
Twitter APIThe Twitter Real Time API, to grab recent t weets and decidebusyness factor
Future DatasetsDue to time constraints we couldn’t implement all datasets wewould like to use.
Foursquare Check-insFoursquare, the more check-ins, the busier a zone will be.
Facebook Check-insFacebook, the more check-ins, the busier a zone will be.
Visit Ghent eventsIf we know there is a certain event in a zone, we can use this tot weak the algorithm which decides if a...
Datasets we dream aboutBesides the existing datasets we would like to use other data, whichisn’t available yet.So if you c...
Telephone operatorsTelephone operators know how many people are connected totheir poles.
Bluetooth trackingWe know UGent was testing on bluetooth tracking to visualizecrowd-movements.
Police data                                           Camera analyzing                                          Crowd mana...
Future?We only got 6 hours, but we have a lot more ideas we couldn’tbuild in this short amount of time.
Improve algorithmFirst off all, we would like to t weak the algorithm to be moreaccurate. At the moment we only have 1 day...
PushWe would like to build a system that can push notification tousers so we can warn them in case of very busy area’s, or...
Forecasting!Because we will gather data, we will be able to do somepredicitions on busyness. Of course we need a lot of da...
Habemus DATA
Our federated API                       http://hoedrukist.nu/nl/zones/jsonThe theme was “Habemus Data”, so in this spirit ...
http://hoedrukist.nuSo this was in a nutshell our submission.Feel free to use or explore it, at: http://hoedrukist.nu
Upcoming SlideShare
Loading in …5
×

Hoe drukist.nu

354 views

Published on

  • Be the first to comment

  • Be the first to like this

Hoe drukist.nu

  1. 1. We are SumoCoders, a Ghent-based webdesign & development firm
  2. 2. The SumosWe participated with the whole team.
  3. 3. wakankdoen.beTwo years ago we also participated in the hackaton with ourapp: Wakankdoen.beOur app won, and, sadly, introduced a problem in Ghent.
  4. 4. Before our app Ghent was pretty empty
  5. 5. But soon it became more crowded
  6. 6. and more crowded
  7. 7. Until it wasn’t very fun to go to Ghent..
  8. 8. hoedrukist.nuSo we decided to fix this problem, or at least build somethingthat people could use to see how crowded Ghent was at themoment.For this we built HoeDrukIst.nu, or in English How Crowded is itnow
  9. 9. if you open up the site in your browser, or on your mobile device,you will see at a glance how crowded parts of the city are.The more red the images are the busier this part is.
  10. 10. When you open the detailpage of a certain area you will see somepictures and the numbers we based our calculations on
  11. 11. DatasetsSo, what datasets did we use?
  12. 12. GIS Data GhentGIS data provided by the city of Ghent to define our zones.
  13. 13. Parking APIThe parking API, provided by the city of Ghent, where we checkhow many parking-spots are available per parking.The parking is linked to a zone. The more spaces are taken, thebusier a zone will be reported.
  14. 14. Weather APIA weather-api to show the current weather in Ghent.
  15. 15. Instagram APIThe Instagram Real Time API, to grab recent photo’s and decidethe busyness factor.
  16. 16. Twitter APIThe Twitter Real Time API, to grab recent t weets and decidebusyness factor
  17. 17. Future DatasetsDue to time constraints we couldn’t implement all datasets wewould like to use.
  18. 18. Foursquare Check-insFoursquare, the more check-ins, the busier a zone will be.
  19. 19. Facebook Check-insFacebook, the more check-ins, the busier a zone will be.
  20. 20. Visit Ghent eventsIf we know there is a certain event in a zone, we can use this tot weak the algorithm which decides if a zone is crowded.
  21. 21. Datasets we dream aboutBesides the existing datasets we would like to use other data, whichisn’t available yet.So if you can provide us with extra data: feel free to open it up (plz).
  22. 22. Telephone operatorsTelephone operators know how many people are connected totheir poles.
  23. 23. Bluetooth trackingWe know UGent was testing on bluetooth tracking to visualizecrowd-movements.
  24. 24. Police data Camera analyzing Crowd managementIn Ghent there are several CCTV-installation which are used tomonitor the crowd. Possibly there is soft ware that can analyzethese images.
  25. 25. Future?We only got 6 hours, but we have a lot more ideas we couldn’tbuild in this short amount of time.
  26. 26. Improve algorithmFirst off all, we would like to t weak the algorithm to be moreaccurate. At the moment we only have 1 day of data, on a snowday ;-)
  27. 27. PushWe would like to build a system that can push notification tousers so we can warn them in case of very busy area’s, or even adisaster.
  28. 28. Forecasting!Because we will gather data, we will be able to do somepredicitions on busyness. Of course we need a lot of data beforewe can actually build this feature.
  29. 29. Habemus DATA
  30. 30. Our federated API http://hoedrukist.nu/nl/zones/jsonThe theme was “Habemus Data”, so in this spirit we opened up our“calculated” data through our own API.
  31. 31. http://hoedrukist.nuSo this was in a nutshell our submission.Feel free to use or explore it, at: http://hoedrukist.nu

×