实时检测路面坑洼裂缝，自动报警提醒司机和管理部门。
Intelligent Road Anomaly Detection with Real-time Notification System for Enhanced Road Safety
- 用树莓派+摄像头+深度学习实现路面异常实时检测
- 可识别多种裂缝类型并量化大小，支持实时计数
- 自动向附近车辆广播警报，适合智慧交通系统应用
本研究旨在提升交通安全性，特别是道路安全。路面损伤异常（如坑洼、裂缝）已成为事故的常见且反复出现的原因。为应对这一问题并提升道路安全，开发了一套综合系统，可检测坑洼、裂缝（如网状、横向、纵向），分类其尺寸，并将数据上传至云端，供管理部门采取相应措施。系统还能在检测到严重异常时，向周边车辆广播警告信号。此外，系统可实时统计路面异常数量。通过树莓派、摄像头模块、深度学习模型、笔记本电脑和云服务实现仿真部署。该创新方案旨在主动提升道路安全，及时通知相关部门与驾驶员，减少因路面隐患引发的潜在事故，从而改善整个社区的道路通行条件。
原文摘要 · Abstract (English)
This study aims to improve transportation safety, especially traffic safety. Road damage anomalies such as potholes and cracks have emerged as a significant and recurring cause for accidents. To tackle this problem and improve road safety, a comprehensive system has been developed to detect potholes, cracks (e.g. alligator, transverse, longitudinal), classify their sizes, and transmit this data to the cloud for appropriate action by authorities. The system also broadcasts warning signals to nearby vehicles warning them if a severe anomaly is detected on the road. Moreover, the system can count road anomalies in real-time. It is emulated through the utilization of Raspberry Pi, a camera module, deep learning model, laptop, and cloud service. Deploying this innovative solution aims to proactively enhance road safety by notifying relevant authorities and drivers about the presence of potholes and cracks to take actions, thereby mitigating potential accidents arising from this prevalent road hazard leading to safer road conditions for the whole community.
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