Author(s)

Jupiter Ndiaye¹, Ousmane Sow², Youssou Traore², Mame Andallah Diop², Ababacar Sadikh Faye¹, Abdoulaye Diop¹

¹Iba Der Thiam University, ED2DS, Thiès, Sénégal.
²University Institute of Technology, Iba Der Thiam University, Thiès, Sénégal.

The Covid-19 pandemic has brought changes in behaviour in public places. Indeed, the health and political authorities, in order to fight against the virus in a preventive manner, require the respect of barrier gestures: social distance, mask, vaccine, gel. Still in terms of public health, long waits in a place for a service have a negative impact on the health of fragile categories such as the disabled, pregnant women and the elderly. The technical devices used for queue management must now take into account the health context, identity, particularity and behaviour of people. This paper presents an electronic system developed with artificial intelligence for queue management in public facilities. This design personalises the user’s ticket by automatically integrating the name, facial image, age and possible disability status. At the counters, a system of name calling, sound and screen display, allows users to follow the queue without having a ticket printed on thermal paper with a high carbon footprint. This solution also makes illiterate users autonomous in the queue, allowing them to maintain their dignity and to respect the safety distance between people. The device allows the establishment’s manager, depending on the context, to activate positive discrimination of the disabled or the elderly, to control the Covid-19 mark or the health pass by QR Code. This queue manager performs biometric authentication by facial recognition before the user is registered in the queue register, which prevents fraud by people who do not want to respect the order of arrival of users. This work has led to the improvement of the technical management of queues by introducing more equity, inclusion, solidarity, health and ecology.

Public Health, Automation, Arduino, Artificial Intelligence, Queue

Ndiaye, J. , Sow, O. , Traore, Y. , Diop, M. , Faye, A. and Diop, A. (2022) Electronic System Using Artificial Intelligence for Queue Management. Open Journal of Applied Sciences, 12, 2019-2036. doi: 10.4236/ojapps.2022.1212141.