Trash Talk

Project Info

Team Name


RoboRoyals


Team Members


6 members with unpublished profiles.

Project Description


Trash Talk is an attractive, innovative and interactive smart rubbish disposal unit, designed to address the needed culture change that will lead us into an advanced, pristine and sustainable future. Trash Talk displays a fitted digital LCD that educates and prompts communities to use and sort waste correctly through visual aids and recognitions. It has indicators to inform users and councils of unit capacity and make suggestions to other units when capacity is reaching its limit. This ... feature allows community members on site to have live, up to date information regarding unit capacity and suggestions of nearby units to avoid overflow. Council can use this data to data inform them of all units usage allowing for optimum management of resources and funds to execute state of the art maintenance of our natural community and environment. To safeguard the bins from wildlife and help to securely store the rubbish, Trash Talk is equipped with functional swing flaps over each waste compartment. These waste compartments are only uncovered once the proximity sensor imbedded in the chassis of the bin is activated. Upon activation, Trash Talk, politely greets users, helpfully prompting them to consider recycling eligible items. Further community collaboration will see partnerships with business' to pursue our vision of Trash Talk-compatible QR codes on fast food packaging. These QR codes will allow for the disposal packaging to be tracked and synced for community rewards through a free user friendly phone app. This deep integration allows a further interactive opportunity that will see members of the community collecting credits and rewards by simply disposing of their packaging in correct bins to receive real-world rewards linked via partnership with local businesses. Trash Talk is more than an attractive, innovative, interactive and smart rubbish disposal unit, it is a leading part in creating a world wide change that educates all to help care and preserve our beautiful natural wonders.


Data Story


Using our data, we discovered that areas with a denser population required more bins, such as Bullcock Street, Brisbane Road, Maroochydore First Avenue, and the Mooloolaba esplanade (Public Place Bins, Sunshine Coast Council). Data Tables: Chapter 7: Cost and Funding (AIHW) major diagnostic categories supported our theory that cleanliness and public bins reduced the risk of disease within communities. The data from ‘What services were Provided’ correlates to the diseases and procedures given in each territory or state. This continued to support our thesis that more bins, means a cleaner, healthier community. Litter Counts provided information about traffic of bins. We can assume which bins in which areas are actually beneficial to the community and which are not. This allows us to create the placements of the new bins in more suitable locations, and unnecessary bins can be removed.


Evidence of Work

Video

Project Image

Team DataSets

Public Picnic Tables

Description of Use This dataset was used to identify areas of the Sunshine Coast in which a bin should be placed. By overlaying Paths, Cycleways and Crossings SCC, Public Place Bins - Map, Existing Open Space, Playgrounds SCC, Public Picnic Tables, Domestic Bin Collection Days SCC MAP we could identify where they would be placed and the possible users of the bin. This was used in to fine tune the design of Trash Talk.

Data Set

Playgrounds SCC

Description of Use This dataset was used to identify areas of the Sunshine Coast in which a bin should be placed. By overlaying Paths, Cycleways and Crossings SCC, Public Place Bins - Map, Existing Open Space, Playgrounds SCC, Public Picnic Tables, Domestic Bin Collection Days SCC MAP we could identify where they would be placed and the possible users of the bin. This was used in to fine tune the design of Trash Talk.

Data Set

Existing Open Space

Description of Use This dataset was used to identify areas of the Sunshine Coast in which a bin should be placed. By overlaying Paths, Cycleways and Crossings SCC, Public Place Bins - Map, Existing Open Space, Playgrounds SCC, Public Picnic Tables, Domestic Bin Collection Days SCC MAP we could identify where they would be placed and the possible users of the bin. This was used in to fine tune the design of Trash Talk.

Data Set

Paths, Cycleways and Crossings SCC

Description of Use This dataset was used to identify areas of the Sunshine Coast in which a bin should be placed. By overlaying Paths, Cycleways and Crossings SCC, Public Place Bins - Map, Existing Open Space, Playgrounds SCC, Public Picnic Tables, Domestic Bin Collection Days SCC MAP we could identify where they would be placed and the possible users of the bin. This was used to fine tune the design of Trash Talk.

Data Set

Venue map

Description of Use Using the Socio-Economic Indexes for Areas map (SEIFA) we were able to look at areas that are lacking use that we can support with our QR code rewards system, improving socio-economic status.

Data Set

Heat map

Description of Use Using the Heat map we were able to look at areas that are lacking use that we can support with our QR code rewards system, improving socio-economic status.

Data Set

Clubs map

Description of Use Using the Clubs map we were able to look at areas that are lacking use that we can support with our QR code rewards system, improving socio-economic status.

Data Set

Schools and Other Info map

Description of Use Using the Socio-Economic Indexes for Areas map (SEIFA) we were able to look at areas that are lacking use that we can support with our QR code rewards system, improving socio-economic status.

Data Set

Socio-Economic Indexes for Areas map (SEIFA)

Description of Use Using the Socio-Economic Indexes for Areas map (SEIFA) we were able to look at areas that are lacking use that we can support with our QR code rewards system, improving socio-economic status.

Data Set

Population Map

Description of Use Using the Population Map we were able to look at areas that are lacking use that we can support with our QR code rewards system, improving socio-economic status.

Data Set

SRS Funding map

Description of Use Using the SRS Funding Map we were able to look at areas that are lacking use that we can support with our QR code rewards system, improving socio-economic status.

Data Set

Main Material Types Littered

Description of Use This data set was used to find which materials contributed to waste the most. This helped us design the bin to make sure the right materials can be used with the bin.

Data Set

Litter counts (spreadsheet)

Description of Use This data set was used to show where the most traffic goes through certain stops and therefore provides the correct data to make the placement of the new bins a more suitable location. This data also allows it to be reviewed and for any unnecessary bins to be removed.

Data Set

Public Place Bins - Map | Data | Sunshine Coast Council

Description of Use This data set shows where public bins are sparsely spread or close together in a clump. This was helpful as it showed where rubbish might be more prominent and can lead to further investigations regarding the use of these bins. If the bins are frequently used, it might be worth investing in more bins throughout the area. This stops bins overflowing and can lead to a cleaner and more sustainable environment.

Data Set

Data Tables: Chapter 5: What Services were Provided

Description of Use This data correlates the procedures given in each public hospital to the state or territory in which they were given, used to support our theory that rubbish in the environment can affect the health of people living there. Major Diagnostic categories that may be affected by poor hygiene were identified and the assumption was made that approx. 1% of these mayor diagnostic categories were admitted due to poor hygiene standards. This allowed us to assume the number of people who were admitted to hospital from disease caused by unsanitary environments.

Data Set

Data Tables: Chapter 7: Cost and Funding (AIHW)

Description of Use This data was used to support our theory that rubbish in the environment can affect the health of people living there. Major Diagnostic categories that may be affected by poor hygiene were identified and the assumption was made that approx. 1% of these mayor diagnostic categories were admitted due to poor hygiene standards. This data was used to calculate how much spending we could save if only 1% of health was affected by the cleanliness of the environment.

Data Set

Challenge Entries

Healthy Communities Challenge

How might we assist councils to build healthier and stronger communities?

Go to Challenge | 49 teams have entered this challenge.

Sunshine Coast Sustainability

How can we preserve our great Sunshine Coast for the next generation?

Go to Challenge | 12 teams have entered this challenge.

Bounty: Integrating AIHW

How can we integrate AIHW and other data sources in interesting ways?

Go to Challenge | 28 teams have entered this challenge.

Litter Challenge

How might we prevent littering of fast food packaging?

Go to Challenge | 16 teams have entered this challenge.

Work Life Made Easy

How can we make work life easier for employers and their workforces – now, and into the future?

Go to Challenge | 27 teams have entered this challenge.

Most Commercially Viable Project

Most Commercially Viable Project

Go to Challenge | 12 teams have entered this challenge.

Sunshine Coast Community

How can we raise the social capital of the Sunshine Coast?

Go to Challenge | 14 teams have entered this challenge.