停车场道闸识别率分析数据

停车场道闸根据车辆的交通状况自动升降，具有防砸功能，利用高速摄像机监控，实时记录车辆模型，比较出入车辆图像，有效防止停车场车辆被盗。停车场道闸闸机识别系统的识别率是道闸性能评价的关键性指标，高识别率可以很好的解决停车难、拥堵等问题，无论对车主还是停车场管理来说，都有着极大的便利，对缓解交通拥堵、科学管理车辆有着积极重要的作用。1、数据采集：开启道闸，记录进出停车场道闸的车辆，每隔2小时统计识别次数和正确次数。2、数据计算：采用公式计算相对识别率：相对识别率=正确次数/2小时识别次数×100%。连续取得8次每隔2小时的相对识别率，计算平均相对识别率=（相对识别率1+相对识别率2+相对识别率3+相对识别率4+相对识别率5+相对识别率6+相对识别率7+相对识别率8）/8。3、数据结论：统计平均相对识别率不低于99%，则判定为合格，反之则为不合格。Parking barrier gates automatically raise and lower based on real-time vehicle traffic conditions, with an anti-punching function. Monitored by high-speed cameras, the system records vehicle models in real time, compares images of incoming and outgoing vehicles, and effectively prevents vehicle theft in parking lots. The recognition rate of the parking barrier gate recognition system is a key indicator for evaluating barrier gate performance. A high recognition rate can effectively solve problems such as parking difficulties and traffic congestion, bringing great convenience to both vehicle owners and parking lot management, and playing a positive and important role in alleviating traffic congestion and scientifically managing vehicles. 1. Data Collection: Activate the barrier gates, record vehicles entering and exiting the parking lot, and count the total number of recognition attempts and correct recognition cases every 2 hours. 2. Data Calculation: Calculate the relative recognition rate using the formula: Relative Recognition Rate = (Number of Correct Recognitions / Total Recognition Attempts within 2 Hours) × 100%. Obtain 8 consecutive sets of relative recognition rates measured every 2 hours, then compute the average relative recognition rate as (Relative Recognition Rate 1 + Relative Recognition Rate 2 + Relative Recognition Rate 3 + Relative Recognition Rate 4 + Relative Recognition Rate 5 + Relative Recognition Rate 6 + Relative Recognition Rate 7 + Relative Recognition Rate 8) / 8. 3. Data Conclusion: If the calculated average relative recognition rate is no less than 99%, the system is deemed qualified; otherwise, it is deemed unqualified.

搜集汇总

数据集介绍

特点

该数据集名为“停车场道闸识别率分析数据”，由浙江中博信息工程有限公司提供，属于信息传输、软件和信息技术服务业。数据集包含216条记录，每月更新一次，主要用于评估停车场道闸的识别率。通过记录每2小时的识别次数和正确次数，计算相对识别率，并判定道闸性能是否合格。高识别率有助于解决停车难和交通拥堵问题，提升停车场管理效率。