Abstract: A defect detection method includes obtaining a first image corresponding to a first area on an object revealing an apparent defect, the first area bounding the area showing the apparent defect; selecting a detection model according to a size of the first image, the detection model selected being one of a group of three models based on dimensions of image, the image being in one of portrait, landscape, or regular square proportions; detecting and confirming or denying a defect on the first image according to the detection model and outputting a detection result, the use of only three possible AI models reduces the likelihood of mis-determinations. An electronic device and a non-volatile storage medium therein, for performing the above-described method, are also disclosed.

Abstract: A method for classifying failures can determine consumer devices on-line as being repairable or not to be repaired. The method obtains a training set, the set including information as to total failure and information as to repairable failure. First key information in repairable failure and second key information in total failure are obtained. A first TF-IDF value of each first key information and a second TF-IDF value of each second key information are computed. A first feature bank is created based on the first TF-IDF value and a first threshold value, and a second feature bank is created based on the second TF-IDF value and a second threshold. Target failure is classified by the trained classifier. A failure classification is quickly achieved. An electronic device and a computer readable storage medium applying the method are also provided.