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Smart parking — An integrated solution for an urban setting

机译:智能停车场 - 城市环境的综合解决方案

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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:停车场可能成为一个繁忙的一天的噩梦,位于德里(印度)的城市,大约约735万辆汽车,如Morth Barclays Research(2012年)。浪费平均十七分钟和大量燃料,以努力每次找到停车位。由于停放的麻烦而导致额外的压力引起,从找到一个空的停车位,以便以后搬迁汽车。我们提出了一个利用最新技术的系统,这些技术将帮助驾驶者克服他们的停车问题,同时使管理空间更容易,通过自动预订停车槽来进行整个过程来实现速度更轻松,成本效益。由于大多数停车位都配备了CCTV监控摄像头,我们打算使用它们来检测汽车的存在,并使用像图像处理和机器学习等技术测量停车位内停车点的可用性。为了测试所提出的系统的性能,建立了系统的原型,以模仿实际停车位的工作,不包括分钟细节。建立了应用程序的原型,以帮助用户预订插槽并将他/她引导回分配的停车槽。将所提出的系统与现有系统进行比较,结果显示了所提出的系统的优越性,如可靠性,可扩展性和安装成本。

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