This application relates to a method, apparatus, device, storage medium, and program product for detecting the liquid level of a
battery cell. The method includes: performing detail-oriented filtering on an internal perspective image of a target
battery cell using a first filtering window to obtain a
cell detail-enhanced image; performing structure-oriented filtering on the internal perspective image of the
battery cell using a second filtering window to obtain a
cell structure-enhanced image; the window size of the first filtering window is smaller than the window size of the second filtering window; fusing the
cell detail-enhanced image and the
cell structure-enhanced image to obtain a target enhanced image; and performing liquid level detection on the target battery
cell based on the target enhanced image to obtain a cell liquid level detection result. This method can improve the accuracy of battery cell liquid level detection.