Rezalina Jessica P. Garcia
ABSTRACT
With the continuously increasing number of positive cases of COVID-19 in the country, government authorities were left with no alternative but to enforce strict and stringent protective measures to conform to the "new normal". People counter system is the most used vison-based measurement system especially in monitoring hourly footfalls and peak times of customers throughout the day. This type of measurement system is very crucial especially when it comes to crowd control. The general objective of this study is to develop a system that monitors the number of people entering and leaving an establishment via image processing/object tracking using YOLO v3 algorithm to make sure that the maximum capacity of people allowed inside an establishment according to IATF and DTI standards for social distancing purposes is followed and observed.
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