Two sisters from Kyiv, Arina and Diana Khmeliuk, have presented a revolutionary project for a robotic waste sorting station. According to dev.ua, the neural network algorithm they developed is able to recognise different types of waste with high accuracy, and the station itself promises to recycle waste efficiently and quickly.
This innovative development has already received international recognition, winning a silver medal at the prestigious IWIS competition. The idea for the project was born after the girls faced the problem of environmental pollution and the lack of efficiency of existing waste management systems.
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According to the Khmeliuk sisters, the station will operate in several stages: first, the waste is shredded and disinfected, and then sorted into different fractions using robotic manipulators controlled by a neural network. The resulting secondary raw materials can be used to manufacture new products, and organic waste can be used as fuel for energy companies.
According to Diana Khmeliuk, one of the project’s authors, the neural network underlying the system has already achieved a recognition accuracy of 91%. The girls plan to continue working on improving the algorithm and look for investors to implement the project in real life.
This development has great potential to solve the global problem of environmental pollution and promote the development of a green economy. Its implementation can significantly reduce the amount of waste in landfills, preserve natural resources, and improve the environmental situation.
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