The Automatic crack detection system is a significant technology to detect crack in concrete images. Identification of the crack Intensity and severity is the main objective of the detection system. Detection of images containing unwanted noises, blurriness and interference is considerably difficult hence image pre-processing is done using the adaptive filter by which the disturbances is removed. Images with non-uniform light, poor contrast or sudden brightness changes is rectified in the segmentation process using the fuzzy-c algorithm that uses clustering technique. Techniques like Gray scale processing do not provide accurate detection therefore Gray level co-event matrices (GLCM) technique which extracts high level features needed in order to perform classification of images and Multi support vector machine (SVM) is used because they can handle multiple continuous and categorical variables. The proposed technique provides better outcomes for crack detection and treatment. The PYTHON software is utilized.