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BINary
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Team info
Apoorva Arora
Master
India
Rishabh Chaturvedi
Master
Indian

BINary

The challenge

When the waste is segregated into separate streams such as organic, plastics, and e-waste, the waste has a higher prospect of recovery and therefore, recycled and reused contributing to a circular economy. Post-collection segregation of mixed municipal waste takes longer, costs more and can harm the environment if it leads to recyclable waste being sent to landfill.

The solution

The simplest way to solve this problem is to solve it before it starts by practicing proper on-site segregation of waste. Here comes BINary. The BINary bins, automatically sort rubbish into recycling categories by recognizing different type of waste via a system positioned inside the bins which use sensors, image recognition and artificial intelligence. BINary bins will save space, time, money and effort in recycling the waste products. When segregation is done at source, higher quality of the material is retained which means that more value can be recovered from waste.

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info@tudelftcontest.nl

Tel: +31 (0)6 38 09 08 92 (WhatsApp)

TU Delft

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2600 AA TUDelft

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