The crack identification robot is designed based on image processing to detect cracks in industrial pipelines. The robot is equipped with a camera and an image processing algorithm that analyse the images captured by the camera to identify cracks. The robot is connected to the hotspot and enabling it to send real-time information about the cracks it detects to a remote server. The robot can be remotely controlled and monitored through a mobile application, which provides a user-friendly interface for managing and analysing the data collected by the robot. The proposed system is expected to enhance the efficiency of crack detection and reduce the need for human intervention in inspection activities. The experimental results showed that the crack identification robot was able to detect cracks accurately. The robot was able to detect cracks of different sizes and shapes, including both narrow and wide cracks, and cracks that were in different orientations. The real-time data transmission and remote monitoring capabilities of the robot were also demonstrated, showing the potential for the system to be used for large-scale crack detection in various applications, such as infrastructure maintenance, construction, and road safety. Overall, the crack identification robot using image processing has the potential to revolutionize the way cracks are detected and monitored, making the process more automated, efficient, and reliable.