Human Tracking and Profiling for Risk Management
Human Tracking and Profiling for Risk Management
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Keywords

YOLO (V3)
SSD (single shot detector)
mobile- net
open-CV
image processing
open pose
tenser-flow

How to Cite

Ranjith K.H.V.S, Jayasekara A.S, Ratnasooriya K.A.L.L, J.L Thilini Randika, Dr. Lakmal Rupasinghe, & Ms. Chethana Liyanapathirana. (2022). Human Tracking and Profiling for Risk Management. Global Journal of Computer Science and Technology, 22(D1), 9–15. Retrieved from https://gjcst.com/index.php/gjcst/article/view/231

Abstract

Infectious viruses are conveyed via respiratory droplets produced by an infected person when they speak sneeze or cough So to combat virus transmission the World Health Organization WHO has imposed severe regulations such as mandatory face mask use and social segregation in public spaces The Human Tracking and Profiling for Risk Management System HTPRM is an online application that identifies the risk associated with failing to follow proper health practices This proposed approach which is divided into four components utilizes You Only Live Once YOLO V3 to detect facemask danger which would be determined based on two factors wearing the face mask properly and the type of mask Surgical k95 homemade and bare The second phase is to use Open CV and SSDMobilenet to evaluate the value of a one-meter space Social Distance between people The system recognizes the maximum number of individuals that can be in the vicinity of the specific hall that uses YOLO V3 and image processing as the third procedure In the last processing the system identifies each person s behavior classifies it as uncommon or not and calculates the risk associated with each category Finally the system computes the overall risk and generates a warning alarm to notify the user that they are in a dangerous scenario
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