Smart Waste Management using Artificial Intelligence
Keywords:
Neural Networks, sensible Waste Management, Garbage CollectionAbstract
Speedy increase in population, has LED to the improper waste management in cities leading to enhanced pests and spreading of diseases. Nowadays, the Garbage Collecting Vehicle (GCV) collects the waste twice or thrice in a week. So, the problem is over flowing of wastages on the roads. Hence, to beat this limitation, during this paper a theme on sensible waste management mistreatment. Our motivation is concerning to find an automatic method for sorting waste aiming help reduce waste and the pollution. This will not only have positive environmental effects but also beneficial economic effects. In addition, our system has a great community appeal by adding the value of knowledge and the social stimulus in the separation and disposal of garbage. So, we investigate the different types of neural networks (NN) to classify the garbage waste images into four classes: glass, paper, metal, and plastic. Then, we will address the following open research questions: (1) are NN techniques efficient for learning good feature representations from images to tackle recycling sort.
How to cite this article:
Chotalia N, Velankar T. Smart Waste Management using Artificial Intelligence. J Adv Res Comp Tech Soft Appl 2020; 4(2): 16-21.
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