The Automated Road Damage Detection System is a software solution designed to detect and identify road damages, such as potholes, cracks, and debris, using vehicle-mounted dashcams and machine learning algorithms. The system aims to improve road safety and infrastructure maintenance by providing real-time alerts to drivers, road authorities, and maintenance personnel about potential hazards on the road.
- Continuous monitoring of the road environment using vehicle dashcams.
- Integration of machine learning models, such as YOLOv8, for real-time road damage detection.
- Generation of alerts and notifications to inform stakeholders about detected road damages.
- Support for various communication channels, including mobile apps, emails, and SMS messages.
- Scalability and adaptability to different road conditions, lighting conditions, and weather conditions.
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MINOR 2 PROJECT - BATCH 127