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This In order to realize the rapid sorting of solar cells slice sorter, it is necessary to speed up each image process detection items. Among them, the detection of edge defect and fragment of solar cells is the most important item to control product quality. The existing detection methods have a long processing time, poor reusability of the processing process, and the processing results are greatly affected by the environment. Therefore, this paper proposed a fast edge defect detection method based on convex hull to determine whether the edge of the battery is defective or not, and to calculate the pixels depth of the defect location. This method has low requirement for the imaging environment, and can provide the attitude information of the cell at the same time, such as the center of the cell pixel and the deflection angle. These results Shorten the time of other detection processes. Finally, experiments show that the time consumption of the algorithm is less than 50 ms, and the false detection rate and missed detection rate of a large number of battery test results are less than 0.5%.specification is set for the theses to be published in Computer Applications and Software, including fonts, margins, page size and print area.