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Smart Recycling Bin for Dense Residential Areas

Introducing an autonomous self-sorting recycling bin focusing on dense residential areas, reducing waste contamination and increasing recycling efficiency. Leveraging sensor data fusion and machine learning technology, our innovative system sorts plastic, glass, metals, and paper materials. By targeting councils in urban settings, we aim to improve recycling rates, minimize contamination, and boost revenue streams. With a team of qualified experts and a strong value proposition, our solution offers a sustainable approach to waste management.

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Smart Recycling Bin for Dense Residential Areas

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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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