UiTM’s Electrical Lecturer’s Breakthrough in Developing Modular and Open System (MOST) for Monitoring COVID-19

Universiti Teknologi MARA, (UiTM), Malaysia has achieved a breakthrough in producing a device which accelerates the process of hand sanitizing, temperature screening and contact information access. A contactless device, Modular and Open System (MOST) was designed and developed by Ts. Dr. Noorfadzli bin Abdul Razak and his team from the Faculty of Electrical Engineering (FKE), UiTM. The collaboration between FKE and Smart Manufacturing Research Institute (SMRI), UiTM resulted in the production of four units of Modular and Open System (MOST) which was for the use of Shah Alam Operations and Disaster Committee (Jawatankuasa Operasi dan Bencana Shah Alam (JOBSA). The Dean of Faculty of Electrical Engineering, Assoc. Prof. Ir. Ts. Dr. Juliana Johari, who represented SMRI, handed over the four devices to Prof. Azizan Abdullah, the Deputy-Vice Chancellor (Student Affairs) UiTM, Malaysia who received the devices on behalf of JOBSA.

MOST chassis are built using the aluminium bar. This chassis is attached with a spring-operated mechanism, used to dispense liquid sanitizer manually by foot. The chassis has a camera, infrared camera thermometer, touchscreen, barcode scanner and tower light. These components are used to perform contactless temperature measurement, capture a person’s information, display the temperature and alert the user about their health condition. The information can be data in any form such as name, phone number, identification number and others as long it is in a barcode format. MOST has been tested and proven to expedite the process of hand sanitizing, temperature screening and accessing contact information.

A person only needs to stand in front of MOST, flash the barcode either by using a card or smartphone, and their health status will be displayed. Moreover, the data, including date, time, measured temperature, and person’s information, will all be recorded instantly. In future, MOST hopes to be upgraded with the Internet of Thing (IoT) elements and Artificial Intelligence (AI) algorithm. It will enable data in MOST to be monitored via web or smartphone app. This will further enhance MOST’s ability to detect a person infected by COVID-19.

Currently, these devices are placed in a few crowded places in UiTM Shah Alam, such as the Health Centre, students’ colleges, mosque, and the Chancellery. The device assists the university to perform Standard Operating Procedure (SOP) in its effort to curb the spread of COVID-19. Besides MOST, Noorfadzli and team members have previously created face shields and mask extenders. During the ceremony, Dr. Juliana also handed over 100 pieces of face shield and 100 pieces of mask extender, to Dr. Zaiton Nasir, the Health Centre Director, for the use of the Health Centre staff.

His recent publications include ‘Real-time optimal trajectory correction (ROTC) for autonomous omnidirectional robot’ in the Lecture Notes in Electrical Engineering and ‘Comparison Between Ziegler-Nichols and AMIGO Tuning Techniques in Automated Steering Control System for Autonomous Vehicle’ in the 2020 IEEE International Conference on Automatic Control and Intelligent Systems (I2CACIS). Further publications can be viewed via  ORCID ID 0000-0002-0592-5649.

Published in QS WowNews dated 25 October 2020.

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