The application discloses a kind of for the method, device, equipment and medium of tab
abnormality detection in
battery cell production process, comprising: the tab area image collected in
battery cell production process is segmented to generate tab
mask;Based on the tab
mask extraction multi-scale pixel-level
feature vector, and the multi-scale pixel-level
feature vector is input into unsupervised probability GMM model to identify pixel-level abnormal point;The pixel-level abnormal point is analyzed to obtain candidate abnormal area, and the parameter index of the candidate abnormal area is obtained;Determine whether the parameter index meets the set tab
abnormality judgment rule, if meet, it is judged as tab
abnormality, and tab abnormality result is output.Therefore, the application can be widely applied to the detection of tab folding, crease, fracture, misplacement and other abnormalities on
battery cell production line.