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Summary
Binned is a platform that provides a service to both business owners and bin truck operators to refine the collection of waste within inner cities.
Full Description
Problem: Waste Management across the city needs refinement and improvement because currently, packaged waste is left outside of businesses leaving them vulnerable to vandalism.
Space with restaurants and other hospitality services areas is limited in any extended storage of waste.
Solution:
As an On Demand service, Binned will provide the truck operators data on refined timetabling in a geographic location, within urban settings. Through user demands, the orchestration of trucks within a city can be analysed and refined via the data set created by Binned.
We expect to provide a tracking device for the waste collection trucks integrating with the rental companies of these vehicles.
It empowers business owners to organise collection times that suit their businesses. Binned will reduce the amount of trucks on the road, lessening and air pollution. Groups of business can be allocated into communities that would have better buying power with existing companies; creating value with the business and reduce cost for the bin collection service.
Video Presentation
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TEAM
S.M.R.T
MEMBERS
Adam O'Brien
Cliona Buckley
Fabian Strunden
Sung-Yueh Perng
Timothy O'Sullivan
Anais Subrero
Tony Hepburn
Raz Akhtar
John Glynn
Conor Forde
Kilian Dolan
Andrew Conlon
GITHUB
Please write down here the Github info for your team and project.
IBM BLUEMIX USE
If you used Bluemix, please provide:
1) The URL of code repositories containing code (if a private repository, please add Sandhya Kapoor, kapoor@us.ibm.com to the project with read access)
2) List of Bluemix boilerplates, runtimes, services and add-ons used during the hackathon - if any services were used during the hackathon, but are not part of the demonstration please specify.
GLOBAL AWARDS
If your project has been nominated for global awards, please indicate the global prize for which you wish to be considered. Please select only one prize. The global awards details are here.
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Global Urban Datafest. Images by