 This study proposes a new computational ghost imaging, GI, technique that uses sequenced random speckle patterns to improve both image quality and computational speed. The authors demonstrate that their proposed scheme can provide up to 10 times faster computation than traditional GI methods, while still maintaining comparable image quality. Additionally, they show that the speckle size used in the sequence is directly related to the size of the target object, allowing for more accurate reconstructions of larger objects. These results suggest that the proposed scheme has the potential to be applied to a wide range of applications where fast and efficient imaging is required. This article was authored by Sukino, Jusun, Tongtian and others.