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The method for providing of parking location guidance service in a smart parking lot

机译：在智能停车场提供停车位置引导服务的方法

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摘要

We proposed a parking location guidance service method using deep learning model in a smart parking lot. License plate image detection and character recognition are required to guide the parking location, and both of these steps use machine learning methods. In particular, the edge system and the server are mounted with a learning model so as not to generate a lot of traffic by transmitting all vehicle images to the server, and the edge system cut only the license plate image using the vehicle license plate detection learning model and transmits it to the server. In the server mounted with the recognition learning model, only license plate images are collected to recognize license plate characters. Rather than performing both license plate image detection and license plate character recognition in the server, it will be much more efficient to cut the license plate image in the edge system and transmit only image information necessary for character recognition to the server as it can reduce the traffic load.
机译：我们提出了一种在智能停车场中使用深层学习模型的停车位置指导服务方法。许可证图像检测和字符识别需要指导停车位置，这两个步骤都使用机器学习方法。特别地，边缘系统和服务器被安装有学习模型，以免通过将所有车辆图像传输到服务器来产生大量流量，并且边缘系统仅使用车辆车牌检测学习切割牌照图像模型并将其传输到服务器。在安装有识别学习模型的服务器中，收集许可证图像以识别许可证板字符。而不是在服务器中执行牌照图像检测和许可证板字符识别，在边缘系统中切割牌照图像并仅发送对服务器时所需的图像信息将更有效，因为它可以减少服务器交通负荷。

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