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

Abstract

Virus prevention has been considered central to the fight against the COVID- 19 coronavirus pandemic. To limit the spread of the virus in public places, several measures have been taken, in particular respect for barrier gestures. T his work is part of this dynamic and sets up a new wireless version of an electronic and nominative queue manager using artificial intelligence for more equit y, inclusion and solidarity. This system , named Gifa is developed in our laboratory. The first prototype, whose connections are largely provided by a wire d system with an artisanal acquisition module, is difficult to deploy for general public use, especially in buildings already built. This article deals with an artificial intelligence queue management system, presenting more functionalities, whose access to the service is ensured in very large part by wireless exch anges with a modern acquisition module realized by 3D printing. The flexible and autonomous design of this device makes it particularly easy to deploy o n premises open to the public without having to modify the existing installation f or commissioning. The manager is equipped with a configuration terminal, and at the counters the call is made by a cashier also equipp ed with a tablet conne cted to the wifi network. Its display screen shows certain information relating to the identity of the customer such as his face, his order number, his first name and last name. This reduces the authentication time of the person at the checkout, queue bypasses for more fairness and less stress. This work has resulted in the improvement of queue management systems by giving them more flexibility to make them more adaptable in several types of environment s and other contexts.