Utilizing Cloud Capabilities for Face Detection and Face Recognition During COVID-19: Comparative Analysis

Abstract

Face Recognition and Face detection is one of the most challenging problem in today’s era in the field of Image processing and Computer vision. Various algorithms are introduced using convolutional architecture for face detection using technologies like deep learning and machine learning. Due to this pandemic situation of COVID-19, Face mask detection has become a necessity and also an emerging Research in the field of Computer vision. As the situation in all over India is getting worse and death rates are increasing, so for protection wearing mask has become a necessity for each individual during this pandemic situation. This paper proposes the novel approach of utilizing cloud capabilities for face recognition. This paper then compares and analyse of face detection approach required during COVID-19 using the cloud computing techniques like Google cloud vision API, Amazon Face Rekognition, IBM cloud and Kairos facial recognition. As this Cloud computing techniques are automated there is no need of Deep learning and machine learning expert and it will help in faster computing and getting the results faster by using this cloud platforms.