Artificial intelligence server for controlling a plurality of robots based on guidance urgency

An artificial intelligence server for controlling a plurality of robots using artificial intelligence, the artificial intelligence server comprising:

• a transceiver configured to receive a captured image of each of a plurality of zones;
• a memory configured to store an image recognition model for recognizing users located in each zone and a waiting situation from an image, wherein the image recognition model is an artificial neural network based model supervised-learned through a deep learning algorithm or a machine learning algorithm;
• and
• a processor configured to:
• acquire a number of users located in each zone and a number of persons in the waiting situation using the image recognition model,
• acquire situation information of each zone based on the received image, wherein the situation information includes a density of users of each zone and a number of persons waiting to receive guidance services in each zone,
• acquire degrees of guidance urgency respectively corresponding to the plurality of zones based on the acquired situation information of each zone, wherein the degrees of urgency of each zone are determined according to an assigned first weight to the density of users of each of the plurality of zones and an assigned second weight to the number of persons waiting to receive guidance services in each zone,
• determine whether there is a degree of guidance urgency greater than a predetermined value in the acquired degrees of guidance urgency, and,
• when there is a degree of guidance urgency greater than the predetermined value, transmit a first control command that causes one or more robots to move to a zone corresponding to the degree of guidance urgency.