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Massimo: Public Queue Monitoring and Management using Mass-Spring Model

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arxiv 2410.16012 v1 pith:A6CNTBII submitted 2024-10-21 cs.CV cs.AIcs.LGstat.AP

Massimo: Public Queue Monitoring and Management using Mass-Spring Model

classification cs.CV cs.AIcs.LGstat.AP
keywords publicefficientlearningqueuesystemsystemsaccuratealgorithms
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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An efficient system of a queue control and regulation in public spaces is very important in order to avoid the traffic jams and to improve the customer satisfaction. This article offers a detailed road map based on a merger of intelligent systems and creating an efficient systems of queues in public places. Through the utilization of different technologies i.e. computer vision, machine learning algorithms, deep learning our system provide accurate information about the place is crowded or not and the necessary efforts to be taken.

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