In this research, we studied the fault recognition algorithm of steel cord conveyor belt, and obtained the wire
ropes image by adopting the detection system of steel cord conveyor belt, so that the fault recognition algorithm of steel
cord conveyor belt was proposed based on Fruit fly optimization algorithm. As we know that the fruit fly optimization algorithm
is used for fault detection of the processing steel cord conveyor belt image and for obtaining the fault image. In
the MATLAB environment, the algorithm process was designed and verified in terms of the effectiveness and accuracy.
The experimental results show that with fast speed and high accuracy in detecting the fault image of steel cord conveyor
belt rapidly and accurately, and in classifying scratch from fracture the proposed algorithm is suitable for the fault recognition
of steel cord conveyor belt automatically.