Road Surface Damage Analysis Service KrackNet provides a comprehensive service for analyzing road surfaces for cracks and damage using AI. This service utilizes dashcam videos and images to ensure accurate and efficient inspections. Service Offerings Dashcam Image/Video Analysis Identifying road surfaces in dashcam videos and analyzing cracks and damage. Road Surface Image Analysis Scanned road surface images captured by vehicles equipped with specialized equipment. Key Features Accurate Crack Detection: Utilizing semantic segmentation technology, our service accurately identifies cracks in images, analyzing the severity and length of the cracks. Clustered Crack Analysis: In cases where cracks are densely clustered, the area can be converted into a "turtle crack" area. Pavement Condition Index Calculation: Based on the analyzed information, we can calculate the Pavement Condition Index (PCI) value. Exclusion of Artificial Cracks: Our service can detect and exclude artificial cracks such as vehicle speed detection lines or joints on concrete roads from the damage analysis. How to Use The analysis service is primarily used via API. On the web, you can test it by uploading images. Log in to the KrackNet service. Create a road pavement analysis task. Upload your images. Configure the analysis settings. Review the analyzed results and make adjustments if necessary. Experience precise and reliable road surface damage analysis with KrackNet's advanced AI technology.