An AI that listens to sounds emanating from the toilet can detect diarrhoea with 98 per cent accuracy – but why would it need to?
The researchers then used 70 per cent of the recordings to train an AI to recognise audible differences between the four types of excretion. Once they confirmed that the AI could consistently do this with another 10 per cent of the data, they tested the AI’s performance using the last 20 per cent of the recordings.
The researchers have created a set-up that could be mounted in toilets. A microphone picks up the noise from lavatory use, which is recorded on a microprocessor in a nearby “Diarrhea Detector” box that has a machine learning AI model onboard. The signal is processed and evaluated before being classified as being diarrhoea or not.
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