降低车位占用告警误报率的策略与方法研究

Strategies and Methods to Lower False Alarm Rate of Parking Space Occupancy

针对车位占用告警系统中由于车牌识别错误导致的错误告警,提出了多种告警过滤的策略和方法。本文首先阐述了车位占用告警的工作原理,然后针对告警错误的原因进行分析,对于系统抖动、环境影响等导致的车牌号码识别错误引起的错误告警分别使用不同的过滤方法,并通过程序编码降低了告警误报率,最终使得车位占用告警准确率提升到98.7%,减少了物业管理人员的人工干预,进一步提升了用户车位使用体验,在实际应用中获得了较好的效果。

In smart communities,the fixed parking spaces may be occupied by others.This paper proposes a variety of alarm filtering strategies and methods for the false alarms,which are caused by wrong recognition for license plate.This paper firstly explains the working mechanism of the parking space occupancy alarm,and then analyzes the reasons for the false alarm errors.For the false alarms caused by the license plate number recognition errors introduced by system jitter and environmental impact,different filtering methods are used to reduce the false alarm rate.And these strategies and methods are further implemented in the software.The correct alarm rate can reach up to 98.7%.This reduced the manual interference and further improve the parking experience for the owner.These strategies and methods have gained very good results in practical applications.