 The DarkCenter algorithm is a novel approach to solving the problem of detecting objects in foggy environments. It combines image defogging and target detection to improve the performance of the target detector in foggy scenes. Image defogging is used to generate a foggy simulated insulator dataset from a clear image, while the center net network structure is modified to enhance the feature extraction capabilities of the target detector. Finally, the two processes are combined to achieve better detection accuracy. This article was authored by Lee Song-lu, Cheng Yang-ku, and He Lin.