Electronic System Using Artificial Intelligence for Queue Management

Abstract

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.

Development of an Intelligent Queue Manager That Takes Account of the Social and Health Context

“…Starting from the first version of the queue manager [1], the development of this second version gave results on the electronic, computer and 3D manufacturing aspects.…”

“…Compared to the existing device [1], the acquisition module is composed of a camera instead of a smartphone to avoid the interruption of recordings due to frequent restarting of the phone with use all day long. Call push buttons have been replaced by tablets with wireless access to avoid too much clutter and allow cashiers to have customer information before they arrive at the counter, which will reduce the duration of authentications.…”

“…Performance tests of the system are carried out to know the time required for the registration of a customer compared to the solutions already proposed [1]. The experiment is carried out, with a 4G+ connection for both models, on Thursday March 02, 2022 between 1:00 pm.…”

“…With the global health crisis of the COVID-19 pandemic, several authors have looked into work to find solutions to reduce the transmission of the virus. In this context, we have implemented an artificial intelligence electronic queue management system [1]. Although integrating several modules related to the respect of barrier gestures, it is a cumbersome device using wire to connect the different entities, which can lead to a need to do new installation work thus favoring a labor additional and may cause some collateral damage in new buildings.…”

Stand-Alone Patient Reception and Referral System with Health Data Management

“…The time patients spend waiting in these healthcare facilities is a major concern, as it can even be detrimental to the patient if care is delayed. A number of studies have been carried out in this field [7] [8] [9] [10] [11]. We have therefore implemented modules that enable us to take information from patient ID cards and select the destination service for each patient.…”