| CPC G06T 7/0004 (2013.01) [G06T 7/11 (2017.01); G06T 2207/10024 (2013.01); G06T 2207/20084 (2013.01)] | 16 Claims |

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1. A computer implemented method for detecting a defect on a surface of a battery cell, comprising: obtaining an initial image of the surface of the cell by using an image acquisition unit; preprocessing the initial image to obtain at least one image to be detected of the surface of the cell; and inputting the at least one image to be detected into a defect detection neural network model, and obtaining a detection result outputted by the defect detection neural network model, the detection result being used to indicate whether there is a defect on the surface of the cell;
wherein the at least one image to be detected comprises a plurality of images to be detected, and the initial image contains a cell surface area where the surface of the cell is located; and the preprocessing the initial image to obtain at least one image to be detected of the surface of the cell comprises: extracting the cell surface area from the initial image; and segmenting the cell surface area to obtain the plurality of images to be detected;
wherein the initial image has a first exposure; and the extracting the cell surface area from the initial image comprises: directly extracting the cell surface area from the initial image; and adjusting an exposure of the cell surface area to obtain a cell surface area having a second exposure, wherein the first exposure is higher than the second exposure;
wherein the first exposure is configured such that a pixel value range of the cell surface area in the initial image is different from a pixel value range of other areas in the initial image than the cell surface area;
wherein the extracting the cell surface area from the initial image further comprises: extracting a cell surface area with a preset color channel from the cell surface area having the second exposure; and the segmenting the cell surface area to obtain the plurality of images to be detected comprises: segmenting the cell surface area with the preset color channel to obtain the plurality of images to be detected.
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