Lot monitoring for smart parking systems

智能停车系统（SPS），让驾驶员可以在现场或在线获取停车占用信息 预先设想。即将开发的SPS系统提供了一种有效的绿色方法（减少 二氧化碳）用于在各种情况下停放车辆。一种自动停车空间占用系统， 部署的低成本需要加以审查。这里提出的项目将研究计算机视觉 停车场空间占用检测技术，并确定系统的可行性， 部署条件。自动化系统将允许智能城市的方法，促进停车 信息的司机谁经常寻找空间和花费大量的时间和产生重大 排放，同时。随着停车时间的减少，排放量的减少是合乎逻辑的结果。的 自动追踪停车位空缺情况将有助于实现这一目标。

A Smart Parking System (SPS) allowing the drivers to get information on parking occupancies on site or online beforehand is envisioned. The SPS system to be developed presents an efficient and green approach (reducing carbon dioxide) for parking vehicles in a various scenarios. An automated parking space occupancy system that is low cost for deployment needs to be examined. The project proposed here will examine computer vision techniques for parking lot space occupancy detection and determine the feasibility of a system under general deployment conditions. The automated system will allow for a Smart Cities approach facilitating parking information to drivers who often looking for spaces and spending a lot of time and generating significant emissions while doing so. With reduced time to parking, a reduction in emissions is the logical outcome. The automated tracking of parking spot vacancies will facilitate such an outcome.