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Smart parking — An integrated solution for an urban setting

机译:智能停车—适用于城市环境的集成解决方案

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Parking could become a nightmare on a busy day, in a city like Delhi (India), which has about 7.35 million cars, as per MORTH Barclays Research (2012). An average of seventeen minutes and considerable amount of fuel is wasted in an effort to find a parking spot every time. Additional stress is induced due to parking hassles starting from finding an empty parking spot to relocating the car later. We propose a system leveraging the latest technologies that will help motorists overcome their parking problems and at the same time, make managing a parking space easier and cost effective by automating the entire process right from pre-booking a parking slot to making the payment. Since most of the parking spaces are equipped with CCTV surveillance cameras, we intend to use them to detect the presence of cars and measure the availability of parking spots within a parking space using techniques like image processing and machine learning. In order to test the performance of the proposed system, a prototype of the system is built that mimics the working of an actual parking space excluding minute details. A prototype of the application is built that would aid the user in booking the slot and guide him/her back to the allocated parking slot. The proposed system is compared with the existing systems and the results show superiority of the proposed system in terms of parameters like reliability, scalability and installation cost.
机译:根据MORTH Barclays Research(2012)的研究,在德里(印度)这样的城市,停车大约会成为忙碌的一天的噩梦,那里的汽车约有735万辆。每次平均浪费17分钟并浪费大量燃料,以寻找一个停车位。由于停车麻烦,从寻找空的停车位到后来重新安置汽车,都会引起额外的压力。我们提出了一种利用最新技术的系统,该系统将帮助驾驶员克服停车问题,同时通过自动执行从预定车位到付款的整个过程,使停车位的管理更容易且更具成本效益。由于大多数停车位都配备了闭路电视监控摄像机,因此我们打算使用它们来检测汽车的存在并使用图像处理和机器学习等技术来测量停车位在停车场内的可用性。为了测试所提出系统的性能,构建了该系统的原型,该原型模仿了实际停车位的工作情况(不包括细节)。构建该应用程序的原型,该原型将帮助用户预订停车位并引导他/她回到分配的停车位。将提出的系统与现有系统进行比较,结果表明,在可靠性,可扩展性和安装成本等参数方面,提出的系统具有优越性。

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