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- W4226505297 abstract "AbstractCoronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus2. COVID-19 has created the worldwide pandemic situation and it is causing a greater health crisis and deaths of the millions of humans all over the world. All the socio-economic activities are very much affected and there is a huge loss over the world in many aspects. If safety measures are not followed strictly in the public places, then there is a rapid spread of the disese at a very faster rate. Hence, this paper provides a thorough survey of the existing computer vision and machine learning-based technological solutions for controlling the spread of the disease. It also discusses some challenges and future perspectives in developing systems for monitoring the COVID-19 safety violations.KeywordsCOVID-19Artificial ıntelligenceComputer visionMachine learningFace maskSocial distancingPeople count" @default.
- W4226505297 created "2022-05-05" @default.
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- W4226505297 date "2022-01-01" @default.
- W4226505297 modified "2023-10-16" @default.
- W4226505297 title "Computer Vision and Machine Learning-Based Techniques for Detecting the Safety Violations of COVID-19 Scenarios: A Review" @default.
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- W4226505297 doi "https://doi.org/10.1007/978-981-16-9573-5_18" @default.
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