基于图像处理的车位信息系统原型

Aaron Abel, S. Aulia, Dadan Nur Ramadhan, S. Hadiyoso
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引用次数: 1

摘要

已经提出了一种自动停车系统,以使停车过程在时间和成本方面更加高效。由于缺乏停车场位置的信息,汽车司机需要更长的时间才能找到。在多层停车场中,官员无法持续直接监控可用的停车条件,因此潜在的停车用户不知道开放停车位的位置。此外,许多停车场使用自动门锁,但没有停车位信息显示。停车系统自动化可以基于硬件、软件或硬件和软件的组合。据我们所知,这个系统没有完全使用基于软件的框架。因此,本研究提出了一种基于摄像头传感器和软件的自动停车系统,并将其整合为一个信息系统。所提出的方法使用简单的形态学运算。基于测试结果,在3勒克斯、15勒克斯、30勒克斯、60勒克斯、120勒克斯和250勒克斯的光强度下实现的检测精度为100%。平均处理时间为1.59秒。通过这项研究,希望该原型能够在相关的环境条件下进行测试,以便在停车场中实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A prototype of parking space information system based on Image Processing
An automatic parking system has been proposed to make the car parking process more efficient in terms of time and cost. The absence of information on the position of the parking lot makes the car driver take longer to find it. In multi-story parking lots, officers cannot constantly monitor the available parking conditions directly, so prospective parking users do not know the position of the open parking space. In addition, many parking lots use automatic door latch, but no parking space information display. Parking system automation can be based on hardware, software, or a combination of hardware and software. To the best of our knowledge, no software-based framework is entirely used on this system. Therefore, this study proposes an automatic parking system based on camera sensors and software, which is combined into an information system. The proposed method uses simple morphological operations. Based on the test results, the detection accuracy achieved is 100% with a light intensity of 3 lux, 15 lux, 30 lux, 60 lux, 120 lux, and 250 lux. The average processing time is 1.59 seconds. From this study, it is hoped that this prototype can be tested on relevant environmental conditions so that the prototype can be implemented in parking lots.
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24 weeks
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