智能停车系统的实现

J. Arshad, Chaudhry Ahmed Ijaz, Adnan Yousaf, Sania Habib, Ateeq ur Rehman, Huzafa Abid, R. M. Asif
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引用次数: 0

摘要

在发达国家和不发达国家,道路上车辆的增加造成了拥挤。交通状况需要停车位。本文提出了一种智能停车解决方案来满足这一需求。利用图像处理方法(自适应阈值法)和计算机视觉方法(单镜头检测模型)来识别空闲车位和监控停车场出入口车辆,并结合智能行为(车牌检测)。车主和司机应用程序(分别为windows和手机)提供了一种与拟议系统交互(收费和实时监控)的方式。以较低的处理成本实现了90%的车牌检测精度。该系统采用基于CPU的算法,提供了一种经济有效的解决方案。这个解决方案为电动汽车提供了一个很好的机会来满足他们的空间和充电需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of an Intelligent Parking System
Increasing vehicles on the road creates hustle in developed and underdeveloped countries. The traffic condition requires the space for parking. This paper presents an intelligent parking solution to fulfil the need. Image Processing (Adaptive Thresholding) and Computer Vision (Single Shot Detection model) methods have been used to identify free slots and monitor vehicles at parking entrance and exit to incorporate intelligent behavior (License plate detection). Owner and driver applications (windows and mobile respectively) provides a way to interact (fare collection and real-time monitoring) with the proposed system. 90% accuracy of license plate detection has been achieved with a low processing cost. The proposed system provides a cost-effective solution by using CPU based algorithms. This solution provides a great opportunity for electronic vehicles to fulfill their space and charging need.
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