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Autonomous Self-Sorting Recycling Bin

Autonomous Self-Sorting Recycling Bin. Focussing on Dense Residential Areas By: Team Jelly Bean Jacky Cai Dr Lydia Hayward Nathan Freitas Andrew Cheng. The Problem. Waste: Australia produces up to 48 million tonnes of waste per year 48% (23 million tonnes ) of this ends up in landfills

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Autonomous Self-Sorting Recycling Bin

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  1. Autonomous Self-Sorting Recycling Bin Focussing on Dense Residential Areas By: Team Jelly Bean Jacky Cai Dr Lydia Hayward Nathan Freitas Andrew Cheng

  2. The Problem • Waste: Australia produces up to 48 million tonnes of waste per year • 48% (23 million tonnes) of this ends up in landfills • Recycling can help solve this issue

  3. Current Residential Recycling System • Single stream recycling • Issues with single stream recycling • Material contamination – recyclables end up in landfills • Increased cost to process contaminated materials Single recycling bin*

  4. Alternative: Source-Separated Recycling • Multiple bins allowing for the separation of recyclables • Solves contamination issue • Current issues with source separation • Inconvenience • Requires more education into proper disposal Source Separated Recycling**

  5. Our Solution • Autonomous self-sorting recycling bin • Similar to current residential system • Recycling has ability to sort into categories of: • Plastic • Glass • Metals • Paper • Technology: Sensor data fusion with supervised machine learning • E.g. image processing, infrared

  6. Target Market • Councils • Councils in dense residential areas • Current focus on apartment buildings with communal waste disposal • Why dense areas • Increased net profit and energy savings in relation to recycling in dense urban areas

  7. Customer Acquisition • Approach a council to implement prototype • Perform case study on benefits of our system compared to existing system • Branch out to other councils • Example: Randwick City Council • Currently sorts waste manually at sorting facility • Transports sorted materials to recycling facilities • Our solution would fit well with Randwick City Council • Our solution can cut out the sorting facility

  8. Revenue Streams • Sale of system • Maintenance of system • Government grants

  9. Current Competitors • Current material recovery facilities • Manual sorting • Human errors • Contamination • Autonomous sorting facilitates (ZenRobotics) • Extremely high costs • Contamination

  10. Value Proposition of our Solution • Reduces inconvenience of source separated model • Reduces contamination risk of single stream model • Meaning: • Increased recycling rates and yield • Improved quality of recovered materials • Increased revenue from recycled material resale • Better for the environment

  11. Why us? • UNSW academia contacts • Research in machine learning and data fusion • Existing work of solution • Diverse mix of expertise • New and fresh idea for waste management

  12. Future Work • Prototype design and manufacture • Approach early adopters and advocates • Don Burke from Burke’s Backyard (Chairman of Australian Environmental Foundation) • Local MP’s – Jenny Leong (Greens, Newtown) • Council contacts - Anthony Collins, manager for sustainability and waste • Approach investors • Team recruitment (sales, marketing, engineers)

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