Throughout early 2020 until now the covid 19 pandemic has shown no sign of ending. It has been impactful to most businesses including retailers and malls. Many of them have been forced to shut due to being unable to adapt with the situation and the Covid cases are increasing day by day which leads to the announcement of Movement Control Order (MCO) by the government. Now some places have been allowed to reopen the retailers and malls with the condition that they must follow Covid control measures. As retailers and malls owners grapple with the repercussions of the covid 19 pandemic, many are accelerating their plans and expanding their thinking to find ways to keep malls relevant in the new normal. Here, we proposed to create a footfall shopper traffic count and information system. This system is to measure the flow of traffic at all mall entrances and anchor stores. This system can filter the people who have a higher chance of being infected with coronavirus by detecting human temperature, record the number of shoppers entering and at the same time can limit the shopper number entered daily. Thus, it is to fulfilled the aim of the social distancing and comply with the guideline from the Ministry of Health of Malaysia. This footfall traffic count and information system has been tested several times to ensure that all the components (temperature sensor, IR sensor, lcd, led, etc.) and system flow work correctly. Moreover, this system can still be evolving in the future by adding more features or applying new component innovation for better and faster performance.
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6 October 2023
2ND INTERNATIONAL SYMPOSIUM ON ENGINEERING AND TECHNOLOGY
5 October 2021
Pauh, Malaysia
Research Article|
October 06 2023
Footfall shopper traffic counter and information system
Saidatul Norlyana Azemia;
Saidatul Norlyana Azemia
a)
1
Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP)
, Kampus Alam Unimap, Pauh Putra 02600 Arau, Perlis, Malaysia
2
Advanced Communication Engineering, Centre of Excellence (CoE), Universiti Malaysia Perlis (UniMAP)
, Perlis, Malaysia
a)Corresponding author: [email protected]
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Ku Nurul Fazira Ku Azir;
Ku Nurul Fazira Ku Azir
b)
1
Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP)
, Kampus Alam Unimap, Pauh Putra 02600 Arau, Perlis, Malaysia
3
Advanced Computing Centre of Excellence Advanced Computing (AdvComp), Universiti Malaysia Perlis (UniMAP)
, Perlis, Malaysia
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Aisyah Nazirah Razali;
Aisyah Nazirah Razali
c)
1
Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP)
, Kampus Alam Unimap, Pauh Putra 02600 Arau, Perlis, Malaysia
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Qurratu Ain Qistina;
Qurratu Ain Qistina
d)
1
Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP)
, Kampus Alam Unimap, Pauh Putra 02600 Arau, Perlis, Malaysia
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Prisilya Murali;
Prisilya Murali
e)
1
Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP)
, Kampus Alam Unimap, Pauh Putra 02600 Arau, Perlis, Malaysia
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Syed Hassan Alidrus;
Syed Hassan Alidrus
f)
1
Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis (UniMAP)
, Kampus Alam Unimap, Pauh Putra 02600 Arau, Perlis, Malaysia
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Norazila Ali
Norazila Ali
g)
4
Sunway University
, 47500 Petaling Jaya, Selangor, Malaysia
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AIP Conf. Proc. 2579, 020018 (2023)
Citation
Saidatul Norlyana Azemia, Ku Nurul Fazira Ku Azir, Aisyah Nazirah Razali, Qurratu Ain Qistina, Prisilya Murali, Syed Hassan Alidrus, Norazila Ali; Footfall shopper traffic counter and information system. AIP Conf. Proc. 6 October 2023; 2579 (1): 020018. https://doi.org/10.1063/5.0112225
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