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.

翻译：公共场所的队列控制与调度系统对于避免交通拥堵和提升顾客满意度至关重要。本文提出了一种融合智能系统的详细技术路线，旨在构建高效的公共场所队列管理体系。通过综合运用计算机视觉、机器学习算法及深度学习等技术，本系统能够精准识别场所拥挤程度，并提供必要的调控决策支持。