Author: Chidumije, A.; Gowher, F.; Kamalinejad, E.; Mercado, J.; Soni, J.; Zhong, J.
Title: Survey of CNN and Facial Recognition Methods in the Age of COVID-19 Cord-id: 7aifbnm2 Document date: 2021_1_1
ID: 7aifbnm2
Snippet: The rising popularity of facial recognition technology has prompted a lot of questions about its application, reliability, safety, and legality. The ability of a machine to identify an individual and their emotions through an image with near perfect accuracy is a testament to how far Artificial intelligence (AI) models have come. This study rigorously analyzes and consolidates several reputable materials with the purposes of answering the following questions: What is facial recognition? How is d
Document: The rising popularity of facial recognition technology has prompted a lot of questions about its application, reliability, safety, and legality. The ability of a machine to identify an individual and their emotions through an image with near perfect accuracy is a testament to how far Artificial intelligence (AI) models have come. This study rigorously analyzes and consolidates several reputable materials with the purposes of answering the following questions: What is facial recognition? How is data acquired? What is the machine learning process? How does the Convolution Neural Network (CNN) work? It also explores the potential obstructions such as face masks that affect the machine's accuracy, security vulnerabilities, reliability, and legal concerns of the technology. © 2021 ACM.
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