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| Photo Credit: John Cameron |
Artificial intelligence has made a giant leap into our rubbish bins thanks to new technology being deployed at the University of South Australia.
Using algorithms to analyze data from smart bin sensors, UniSA PhD student Sabbir Ahmed is designing a deep learning model to predict where waste is accumulating in cities and how often public bins should be cleared.
“Sensors in the public smart bins can give us a lot of information about how busy specific locations are, what type of rubbish is being disposed of and even how much methane gas is being produced from food waste in bins,” Ahmed says.
“All that data can be fed into a neural network model to predict where bins in parks, shopping centers and other public places are likely to fill up quickly and, conversely, which locations are rarely visited.
“This can help councils to optimize their waste management services, schedule bin clearances and even relocate rarely used bins to where they are needed most.”


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