Real-Time Parking Surveillance System and Auto-Billing through The Internet of Things

Hemanjali Geridipudi
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Abstract

This study describes a parking sensing system based on the internet of things (IoT) that uses robust outdoor vehicle localization and recognition algorithms. Although parking occupancy monitoring systems have come a long way, intelligent parking payment is rarely investigated in smart parking research. This study presents a revolutionary low-cost sensor system that allows for real-time parking occupancy monitoring and payment without user or driver input. The proposed onboard vehicle transceiver device (VTD) sensor will be implemented without the need for new components to be installed in each parking lot. It provides advantages in terms of detection and payment dependability and cost savings through reduced system complexity, infrastructure investment, and battery replacement costs. A two-fold sensing method is used to accomplish reliable vehicle detection and parking occupancy monitoring.
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通过物联网实现实时停车监控系统和自动计费
本研究描述了一种基于物联网(IoT)的停车传感系统,该系统使用强大的户外车辆定位和识别算法。虽然停车场占用率监控系统已经取得了长足的发展,但智能停车支付在智能停车研究中却很少被研究。本研究提出了一种革命性的低成本传感器系统,该系统允许实时停车占用监测和支付,无需用户或驾驶员输入。拟议的车载收发器(VTD)传感器将在不需要在每个停车场安装新组件的情况下实施。它在检测和支付可靠性方面具有优势,并通过降低系统复杂性、基础设施投资和电池更换成本来节省成本。采用双重传感方法实现可靠的车辆检测和车位占用监测。
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