This capability cannot be provided by current systems. With Wang's system, high-definition images of pavement surfaces are directly captured, archived, and analyzed by computers. By applying image-processing techniques to these digital images, engineers can easily identify distresses in the roadway and determine the exact scope of the problem. Distress objects such as cracks and holes can then be classified according to length, width, orientation or other predefined categories. An ideal automated system should find all types of cracking and any other surface distress of any size, at any collection speed and under any weather conditions.
Implementation costs for a fully automated system remain a concern.
At the same time, the quality and performance of the available equipment has improved. However, fully digital systems are still a long way off for most states. Most state highway departments usually attempt to examine every mile of highway each year to determine conditions and maintenance needs. With the present system, most states require a specially equipped van to drive over every mile of highway. Cameras in the van videotape the road surface, and the videotapes are stored on shelves in rooms designated for that purpose.