IoT-Based Smart Road for Accident Detection and Alert Using Sensor Fusion and Machine Learning

The expanding number of street mischances has ended up a worldwide concern, inciting the improvement of progressed frameworks for opportune location and alarm. This paper presents an imaginative arrangement, an IoT-based Savvy Street framework, outlined to distinguish and expeditiously react to potential mischances. Leveraging sensor combination and machine learning procedures, especially YOLO (You Merely See Once) for question location and One-Class SVM for peculiarity discovery, the proposed framework can precisely distinguish and anticipate unsafe circumstances on the street. The Savvy Street framework coordinates different sensors, counting cameras, LiDAR, and accelerometers, to capture real-time information on street conditions, vehicle developments, and natural parameters. The collected information experiences a combination utilizing progressed calculations, empowering the framework to produce a comprehensive situational mindfulness demonstration. The YOLO calculation contributes to the real-time discovery of vehicles, people on foot, and impediments, guaranteeing effective observation of potential collision dangers. Additionally, the One-Class SVM calculation helps in inconsistency discovery, empowering the framework to recognize irregular designs and behaviors on the street. Through persistent learning, the framework can recognize between ordinary activity exercises and possibly perilous occasions, subsequently activating convenient alarms and preventive measures. Furthermore, the integration of IoT innovation empowers consistent communication between the Savvy Street framework and adjacent vehicles, permitting quick notices and recommendations for remedial activities. The proposed Savvy Street framework illustrates promising capabilities in improving street security and lessening the event of mishaps. By leveraging sensor combination and machine learning strategies, it offers a proactive approach to mishap discovery and caution components, guaranteeing the security of both drivers and people on foot. This arrangement serves as a critical step towards the improvement of brilliant transportation frameworks, cultivating a more secure and more efficient street foundation for the long term.