Combating COVID-19 using object detection techniques for next-generation autonomous systems
Hrishikesh Shenai, Jay Gala, Kaustubh Kekre, Pranjal Chitale and Ruhina Karani, D. J. Sanghvi College of Engineering, Mumbai, India
Abstract
COVID-19 has become a global crisis. During such a time of adversity, it has become difficult to create safe working conditions for people resulting in a lack of workforce for performing a multitude of tasks. As a result, there is a requirement for “next-gen” autonomous systems to perform various tasks. One of the reasons why humans are efficient in doing a lot of tasks is the ability to detect and distinguish between various objects around them and proceed with doing the intended task further. Object ...
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