先进的物联网集成停车系统,自动识别车牌和支付管理
Gulmini Pradhan1, Manas Ranjan Prusty2, Vipul Singh Negi3
1School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, Tamil Nadu, 600127, India.
Scientific reports
|January 18, 2025
概括
这项研究引入了一个自动化城市停车系统,使用摄像头和传感器进行准确的车辆检测和车牌识别. 该系统显著减少了计费错误,并改善了占用跟踪,提高了停车场管理效率.
科学领域:
- 计算机科学 计算机科学
- 电气工程 电气工程
- 城市规划 城市规划
背景情况:
- 城市停车场面临着挑战,因为车辆密度不断增加和空间有限,导致拥堵和收入损失.
- 传统的停车管理系统在高峰时段效率低下,导致错误和未经授权的使用.
研究的目的:
- 开发一个自动化系统,以有效地管理城市停车场.
- 为了提高车辆检测,占用跟踪和计费准确度.
主要方法:
- 集成传感器,图像处理 (包括光学字符识别 (OCR)) 和数据库管理.
- 使用一个单一的摄像头,预定义的坐标与红外传感器连接,用于双重验证.
- 实施用于车牌识别和占用跟踪的算法.
主要成果:
- 在白天达到95%的准确性,在低光下达到90%的准确性,用于识别车牌.
- 在1.5~3米的距离上显示了88%的检测准确度.
- 减少了90%的计费错误,并将占用跟踪错误减少到5%以下.
结论:
- 拟议的自动化系统有效地解决了城市停车挑战.
- 可扩展的设计支持智能城市基础设施的更广泛应用,包括收费和交通监控.
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