Virtual Booth

One For All Bin (OFAB) Project Abstract

The current waste management infrastructure faces critical challenges, particularly in developing regions where 66% to 93% of waste is openly dumped. In Malaysia, the recycling rate stood at only 37.9% in 2024, highlighting the need for improved waste management effectiveness. To address this, One For All Bin team from the University of Wollongong Malaysia designed the "One For All Bin" (OFAB), a revolutionary, low-cost AI recycling bin that automates waste segregation at the source.

By utilizing Sensory Fusion, a combination of audio and visual data processed via edge AI computing on K230 and ESP32 microcontrollers, the OFAB system accurately identifies and categorizes waste. The bin features an auto sort mechanism that takes just 5 seconds to segregate items into four distinct categories: aluminium/glass, general waste, plastic, and paper.

Designed with economic and environmental sustainability in mind, the OFAB structure is built using recycled aluminum profiles and boasts highly energy efficient operations. The system includes a power-saving "Deep Sleep" mode that draws merely 0.312W, allowing for up to 16 hours of operation and off grid, solar backed capabilities. At a total production cost of RM339.8, the bin is over 95% cheaper than existing market alternatives, making it an economically viable solution for mass deployment.

The project targets B2B markets for implementation in high traffic public areas such as university campuses, supermarkets, and urban parks. By eliminating the reliance on the public's recycling knowledge and surpassing the 62% accuracy rate of manual sorting, O-FAB encourages effortless public recycling and actively advances UN Sustainable Development Goals 9, 11, and 13.