SlideShare una empresa de Scribd logo
1 de 31
Descargar para leer sin conexión
We are SumoCoders, a Ghent-based webdesign & development firm
The Sumos




We participated with the whole team.
wakankdoen.be




Two years ago we also participated in the hackaton with our
app: Wakankdoen.be

Our app won, and, sadly, introduced a problem in Ghent.
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.nu




So we decided to fix this problem, or at least build something
that people could use to see how crowded Ghent was at the
moment.
For this we built HoeDrukIst.nu, or in English How Crowded is it
now
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.
When you open the detailpage of a certain area you will see some
pictures and the numbers we based our calculations on
Datasets
So, what datasets did we use?
GIS Data Ghent



GIS data provided by the city of Ghent to define our zones.
Parking API



The parking API, provided by the city of Ghent, where we check
how many parking-spots are available per parking.
The parking is linked to a zone. The more spaces are taken, the
busier a zone will be reported.
Weather API



A weather-api to show the current weather in Ghent.
Instagram API



The Instagram Real Time API, to grab recent photo’s and decide
the busyness factor.
Twitter API



The Twitter Real Time API, to grab recent t weets and decide
busyness factor
Future Datasets
Due to time constraints we couldn’t implement all datasets we
would like to use.
Foursquare Check-ins



Foursquare, the more check-ins, the busier a zone will be.
Facebook Check-ins



Facebook, the more check-ins, the busier a zone will be.
Visit Ghent events



If we know there is a certain event in a zone, we can use this to
t weak the algorithm which decides if a zone is crowded.
Datasets we dream about

Besides the existing datasets we would like to use other data, which
isn’t available yet.

So if you can provide us with extra data: feel free to open it up (plz).
Telephone operators



Telephone operators know how many people are connected to
their poles.
Bluetooth tracking



We know UGent was testing on bluetooth tracking to visualize
crowd-movements.
Police data
                                           Camera analyzing
                                          Crowd management

In Ghent there are several CCTV-installation which are used to
monitor the crowd. Possibly there is soft ware that can analyze
these images.
Future?



We only got 6 hours, but we have a lot more ideas we couldn’t
build in this short amount of time.
Improve algorithm



First off all, we would like to t weak the algorithm to be more
accurate. At the moment we only have 1 day of data, on a snow
day ;-)
Push



We would like to build a system that can push notification to
users so we can warn them in case of very busy area’s, or even a
disaster.
Forecasting!



Because we will gather data, we will be able to do some
predicitions on busyness. Of course we need a lot of data before
we can actually build this feature.
Habemus DATA
Our federated API
                       http://hoedrukist.nu/nl/zones/json


The theme was “Habemus Data”, so in this spirit we opened up our
“calculated” data through our own API.
http://hoedrukist.nu




So this was in a nutshell our submission.
Feel free to use or explore it, at: http://hoedrukist.nu

Más contenido relacionado

Similar a Hoe drukist.nu

Location based services using augmented reality
Location based services using augmented realityLocation based services using augmented reality
Location based services using augmented reality
IAEME Publication
 
Computer vision based human computer interaction using color detection techni...
Computer vision based human computer interaction using color detection techni...Computer vision based human computer interaction using color detection techni...
Computer vision based human computer interaction using color detection techni...
Chetan Dhule
 

Similar a Hoe drukist.nu (20)

JSON over SMS
JSON over SMSJSON over SMS
JSON over SMS
 
Data Scenarios 2020: 6 Amazing Transformations
Data Scenarios 2020: 6 Amazing TransformationsData Scenarios 2020: 6 Amazing Transformations
Data Scenarios 2020: 6 Amazing Transformations
 
Speed Welshpool - Transport Technology, Realtime, PODs and APIs
Speed Welshpool - Transport Technology, Realtime, PODs and APIsSpeed Welshpool - Transport Technology, Realtime, PODs and APIs
Speed Welshpool - Transport Technology, Realtime, PODs and APIs
 
2016 05-07 amro handy labs workshop
2016 05-07 amro handy labs workshop2016 05-07 amro handy labs workshop
2016 05-07 amro handy labs workshop
 
BIG DATA, a new way to achieve success in Enterprise Architecture.
BIG DATA, a new way to achieve success in Enterprise Architecture.BIG DATA, a new way to achieve success in Enterprise Architecture.
BIG DATA, a new way to achieve success in Enterprise Architecture.
 
relayr presents the WunderBar CloudCamp London
relayr presents the WunderBar CloudCamp Londonrelayr presents the WunderBar CloudCamp London
relayr presents the WunderBar CloudCamp London
 
Geo-Django Python
Geo-Django PythonGeo-Django Python
Geo-Django Python
 
Location Based Services Without the Cocoa
Location Based Services Without the CocoaLocation Based Services Without the Cocoa
Location Based Services Without the Cocoa
 
relayr presents WunderBar at CloudCamp London
relayr presents WunderBar at CloudCamp Londonrelayr presents WunderBar at CloudCamp London
relayr presents WunderBar at CloudCamp London
 
Collaborative Mapping with Google Wave
Collaborative Mapping with Google WaveCollaborative Mapping with Google Wave
Collaborative Mapping with Google Wave
 
Global Azure Bootcamp 2019 - AIoT powered by Azure
Global Azure Bootcamp 2019 - AIoT powered by AzureGlobal Azure Bootcamp 2019 - AIoT powered by Azure
Global Azure Bootcamp 2019 - AIoT powered by Azure
 
Location based services using augmented reality
Location based services using augmented realityLocation based services using augmented reality
Location based services using augmented reality
 
MULTIVIEW GARBAGE COLLECTION ESTIMATION USING IOT
MULTIVIEW GARBAGE COLLECTION ESTIMATION USING IOTMULTIVIEW GARBAGE COLLECTION ESTIMATION USING IOT
MULTIVIEW GARBAGE COLLECTION ESTIMATION USING IOT
 
CMPE- 280-Research_paper
CMPE- 280-Research_paperCMPE- 280-Research_paper
CMPE- 280-Research_paper
 
Boot the Open Smart City
Boot the Open Smart CityBoot the Open Smart City
Boot the Open Smart City
 
Computer Vision Applications - White Paper
Computer Vision Applications - White Paper Computer Vision Applications - White Paper
Computer Vision Applications - White Paper
 
Everyware - "the future is already here, it's just not well distributed yet"
Everyware - "the future is already here, it's just not well distributed yet"Everyware - "the future is already here, it's just not well distributed yet"
Everyware - "the future is already here, it's just not well distributed yet"
 
Computer Vision - White Paper 2020
Computer Vision - White Paper 2020Computer Vision - White Paper 2020
Computer Vision - White Paper 2020
 
BilliauwsBonjean.pdf
BilliauwsBonjean.pdfBilliauwsBonjean.pdf
BilliauwsBonjean.pdf
 
Computer vision based human computer interaction using color detection techni...
Computer vision based human computer interaction using color detection techni...Computer vision based human computer interaction using color detection techni...
Computer vision based human computer interaction using color detection techni...
 

Hoe drukist.nu