It has been observed that millions of dollars are being invested on highway/subway tunnel maintenanceand restoration
all over the globe. But this cost can be minimized if the detection of cracks will be found as earlieras possible. As the restoration
process depends on the type of cracks, it is important to plan the required steps to be taken for repairing the destruction caused
as earlier as possible. Initially we need to capture very transparent images of the roads/concrete infrastructures as the detection
process will depend on those images. The device usedfor scanning and capturing the images of the concrete infrastructures or
roads must be configured for picturing high resolution images. After processing the image acquired, it is easier to extract
information about the cracks found. Depending on this information, the images could be classified using some decision-making
algorithm.
