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المؤلفAl Madeed, Somaya
المؤلفelharrouss, Omar
المؤلفOttakath, Najmath
تاريخ الإتاحة2020-10-22T06:07:20Z
تاريخ النشر2020
اسم المنشورQatar University Annual Research an Exhibition 2020 (quarfe)
معرّف المصادر الموحدhttps://doi.org/10.29117/quarfe.2020.0305
معرّف المصادر الموحدhttp://hdl.handle.net/10576/16529
الملخصDue to the current COVID situation , there's a huge need for crowd control as well as efficient social distancing. Security cameras everywhere but personnel to monitor it, a few. In this project we use crowd counting and detection along with social distancing monitoring which would enable efficient social distancing and control of the crowd intelligently. The lightening of the cumbersome task of the security professionals to monitor and analyze the crowd is done here making smart decision on their behalf. In addition, masks are essential instruments to prevent a corona infection, they are essentials for every individual in a crowd. In this project Non-face mask wearing people can be detected at public places and an alert send for that particular individual which further helps control COVID infections. . Intelligent system achieved by these two tasks will enabled informed decision making , efficient remote monitoring of crowd , proper social distancing and thus achieving safety at essential infrastructures like transport stations, schools, malls, airports, playground, hospitals etc where tracking multiple cameras at the same time would be a hassle for security professionals. In this project we propose a deep learning approach to accurately detect crowd above a certain restriction and make sure the individuals abide by wearing masks and social distancing effectively.
اللغةen
الناشرQatar University Press
الموضوعCOVID
Social Distancing
Crowd
Masks
Deep Learning
العنوانIntelligent monitoring system for crowd monitoring and social distancing with mask control
النوعPoster
dc.accessType Open Access


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