Without proper user education, we can’t grow recycling rates and understand which type of recycling system is needed for a sustainable future. The global challenge to increase recycling rates is still hard to tackle with users’ uncertainty when deciding which items can be recycled and which cannot. TrashBot features an AI system that is three times more accurate at the point of disposal than human beings and conventional methods whose accuracy stands at 30%. Some of the most popular challenges faced with traditional trash bins are the following:Ĭonvention centers, buildings, stadiums, and transportation facilities are deploying new innovative solutions, such as CleanRobotics TrashBot™, a smart bin that captures high-quality waste data and informs staff when it gets full. Consequently, few companies have started to test AI robotics to detect recyclable items. In addition, the absence of sensors made it challenging to identify any unusual incident (like fire or displacement). The vague information about recycling bins’ fullness indicates unproductive use of human resources, immoderate fuel consumption, time-wasting, and excessive use of resources, such as trash bags and cleaning chemicals. Only until smart tools such as smart recycling bins become an easy-access solution we will be able to replace the traditional ways of treating old and new waste problems, achieving truly sustainable and smart waste management.Ĭhallenges with Traditional Recycling Bins In addition, recent studies show that only 9% of plastic in the world actually gets recycled, these and more challenges make it harder for companies trying to shift towards a Zero Waste vision.
it is estimated that up to 25% of submitted items are unrecyclable? The inefficient recycling solutions to handle the world’s waste have led to air, water, and soil pollution, affecting our world’s sustainable growth.
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