In any civil construction, cracks are the earliest indications of deterioration, specifying the need for restoration before significant damage occurs. Maintenance costs can be minimized if the crack is detected immediately. Many techniques are used in non-destructive crack testing, such as Thermographic Tests (T.T.), Visual Inspection (V.T.), Ultrasonic Testing (U.T.), Eddy Current Testing (E.T.), Magnetic Particle Testing (M.T.), dye Penetrant Testing (P.T.), etc. Modern techniques, including the use of image binarization, are constantly being researched in the community. There are numerous challenges due to various noises, such as irregular lighting conditions, shade, defection, and concrete space in image-based crack detection. In this paper, the methodology of automatically detecting and analyzing cracks in an image processing strategy is proposed. This research aims to achieve a device past these problems encountered along with the economy. By using a computer vision library, i.e., OpenCV, cracks are detected in the structure, and later, with the help of a device that comprises an Arduino Uno and an ultrasonic sensor, the depth and breadth of the cracks are measured.