Publication Date: 2022/06/28
Abstract: Face recognition is one among the foremost wide used technologies, from a phone's lock screen to the foremost personal safe. it's used for identification, and security functions. It's accomplished by face detection, that is allotted by mapping an individual's face employing a combination of neural network and machine learning. Similarly, Cloud Computing is one among the trending technologies, it's a model for sanctioning omnipresent, sociable, high society network access to a shared pool of configurable computing resources. it's thought-about one among the foremost economical ways in which to store information firmly. Speech-to-text technology could be a widely used technology that is employed in google assistant, alexa, siri, google home, etc. This practicality of those services is extensively employed by individuals all around the globe, attributable to its ease of access, even by those that are unfamiliar with the smartphone world. This technology has conjointly exhibited hefty improvement in speech accent recognition. During this paper, we have a tendency to aim at implementing face recognition of the staff attempting to realize access to the workplace premises, by comparing the new non heritable facial info with the info set accessible within the cloud information. Speech-to-text technology is utilized so as to produce access to the guests.
Keywords: Face Recognition, Cloud Computing, Machine Learning, Speech-To-Text
DOI: https://doi.org/10.5281/zenodo.6767124
PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22JUN737.pdf
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