E-ISSN 2683-5961 | ISSN 2354-1814
 

Research Article

Online Publishing Date:
18 / 12 / 2022

 


Design of a smart crowd control system for public facilities in Nigeria

Hezekiah O Adeyemi, Adekunle I Musa-Olokuta, Olasunkanmi O Akinyemi, Abdullahi G Ajasa, Martins O Oluwaseun, Oluwasegun Sobowale, Tayo Alausa.


Abstract
Due to an ever-increasing population, the dangers of overcrowding in public facilities became prominent during
the COVID-19 Pandemic that ravaged globally in the year 2020 and still ravaging. This study used a smart
Micro controller integrated with Machine learning approach to help control crowds in a public facility. The
design employed the use of an embedded system consisting of raspberry pi, raspberry pi camera, and other
peripherals. The raw data from the visual camera were processed using the microprocessor; information
extracted was then used to send signals to the Visual display board, Buzzer and the stepper motor which closed
the door. This study presented a prototype platform towards real-time machine learning integration with a
Raspberry Pi microcontroller. The system addresses some of the critical challenges with practical applications
in today's energy-saving environment.

Key words: crowd, public, facility, prototype, barrier, barricade


 
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How to Cite this Article
Pubmed Style

Adeyemi HO, Musa-Olokuta AI, Akinyemi OO, Ajasa AG, Oluwaseun MO, Sobowale O, Alausa T. Design of a smart crowd control system for public facilities in Nigeria. Equijost. 2022; 9(1): 13-17. doi:https//dx.doi.org/10.4314/equijost.v9i1.3


Web Style

Adeyemi HO, Musa-Olokuta AI, Akinyemi OO, Ajasa AG, Oluwaseun MO, Sobowale O, Alausa T. Design of a smart crowd control system for public facilities in Nigeria. https://www.equijost.com/?mno=99994 [Access: March 03, 2024]. doi:https//dx.doi.org/10.4314/equijost.v9i1.3


AMA (American Medical Association) Style

Adeyemi HO, Musa-Olokuta AI, Akinyemi OO, Ajasa AG, Oluwaseun MO, Sobowale O, Alausa T. Design of a smart crowd control system for public facilities in Nigeria. Equijost. 2022; 9(1): 13-17. doi:https//dx.doi.org/10.4314/equijost.v9i1.3



Vancouver/ICMJE Style

Adeyemi HO, Musa-Olokuta AI, Akinyemi OO, Ajasa AG, Oluwaseun MO, Sobowale O, Alausa T. Design of a smart crowd control system for public facilities in Nigeria. Equijost. (2022), [cited March 03, 2024]; 9(1): 13-17. doi:https//dx.doi.org/10.4314/equijost.v9i1.3



Harvard Style

Adeyemi, H. O., Musa-Olokuta, . A. I., Akinyemi, . O. O., Ajasa, . A. G., Oluwaseun, . M. O., Sobowale, . O. & Alausa, . T. (2022) Design of a smart crowd control system for public facilities in Nigeria. Equijost, 9 (1), 13-17. doi:https//dx.doi.org/10.4314/equijost.v9i1.3



Turabian Style

Adeyemi, Hezekiah O, Adekunle I Musa-Olokuta, Olasunkanmi O Akinyemi, Abdullahi G Ajasa, Martins O Oluwaseun, Oluwasegun Sobowale, and Tayo Alausa. 2022. Design of a smart crowd control system for public facilities in Nigeria. Equity Journal of Science and Technology, 9 (1), 13-17. doi:https//dx.doi.org/10.4314/equijost.v9i1.3



Chicago Style

Adeyemi, Hezekiah O, Adekunle I Musa-Olokuta, Olasunkanmi O Akinyemi, Abdullahi G Ajasa, Martins O Oluwaseun, Oluwasegun Sobowale, and Tayo Alausa. "Design of a smart crowd control system for public facilities in Nigeria." Equity Journal of Science and Technology 9 (2022), 13-17. doi:https//dx.doi.org/10.4314/equijost.v9i1.3



MLA (The Modern Language Association) Style

Adeyemi, Hezekiah O, Adekunle I Musa-Olokuta, Olasunkanmi O Akinyemi, Abdullahi G Ajasa, Martins O Oluwaseun, Oluwasegun Sobowale, and Tayo Alausa. "Design of a smart crowd control system for public facilities in Nigeria." Equity Journal of Science and Technology 9.1 (2022), 13-17. Print. doi:https//dx.doi.org/10.4314/equijost.v9i1.3



APA (American Psychological Association) Style

Adeyemi, H. O., Musa-Olokuta, . A. I., Akinyemi, . O. O., Ajasa, . A. G., Oluwaseun, . M. O., Sobowale, . O. & Alausa, . T. (2022) Design of a smart crowd control system for public facilities in Nigeria. Equity Journal of Science and Technology, 9 (1), 13-17. doi:https//dx.doi.org/10.4314/equijost.v9i1.3





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