Open AccessDesign & Development of a Voice-Enabled Vending Machine for Green Buildings
Author(s) -
Vaibhav Bisht,
Patri Sanjana,
V. Sridhar
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/573/1/012041
Subject(s) - architectural engineering , engineering , process (computing) , renewable energy , computer science , operating system , electrical engineering
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.