Finding cracks is an important responsibility in keeping track of the condition of structures and making sure they are safe. The laborious and time-consuming manual crack identification method is hampered by subjective evaluations of inspectors. Cracking the wall is one of the first signs of damage that is important to conservation as further exposure will lead to serious environmental damage. Guide testing is a traditional method of cracking testing. Within the guide test, the crack drawing is manually created, and exclusion criteria are quoted. Because the hands-on approach depends entirely on professional knowledge and expertise. In this paper, an automated image detection system has been suggested as a replacement for various traditional processes to automatically identify cracks using the image processing process..

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