The objective of this research is to develop an integrated new system that combines infrared imaging, high resolution visible light imaging, real-time image processing, and data-rich analytics for automated inspection of the surface of the asphalt pavements. The developed system features collecting frames from thermal and visual images and aligning them together for further data processing. We developed an algorithm that can integrate the characteristics captured by both thermal and visual images to provide a quantitative identification of the location of surface cracks and their severity. This work can provide fast and easy decision support to improve pavement preservation practices
