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V G Sridhar

Bio: V G Sridhar is an academic researcher from VIT University. The author has contributed to research in topics: Prognostics & Sustainable development. The author has co-authored 2 publications.

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Journal ArticleDOI
01 Oct 2020
TL;DR: In this article, an automated voice recognition based vending machine powered by solar energy is discussed. But, the authors do not discuss the design of a food-dispensing unit that can be used in hostels, restaurants and other areas of medium to a large gathering.
Abstract: Green buildings form a milestone technology for a sustainable and eco-friendly atmosphere. A sophisticated process management and control with advanced warning systems and sustainable user-friendly buildings is their existing norm, as per the Indian Green Building Council. With efficient resource utilization and waste management along with different user-friendly working systems, these optimized building spaces reduce various utilization costs, parallelly increasing the safety, hygiene, and comfort standards. Their norms for the future eye at a sustainable development scheme using different renewable energy technologies with solar energy having developed as a fast-growing alternative due to its usability in various rural and urban dwellings. This paper discusses the concept of an automated voice recognition based vending machine powered by solar energy. The sophisticated Voice Recognition System (VRS) changes the role of humans in the associated process and hence, should be an integral part of future green buildings. Intelligence to the working system is incorporated by Machine Learning (ML) and its flexible Internet of Things (IoT) platform entails high customizability with a good Prognostics & Health Management (PHM) media. An implementation of the framework is worked upon, discussing the design of a food-dispensing unit that can be used in hostels, restaurants, and other areas of medium to a large gathering. Food can be served without any human intervention whilst maintaining high levels of cleanliness, minimizing waste, and reducing operating costs.

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