Contemporary Amperex Technology Co., Ltd.

Contemporary Amperex Technology Limited

Can Chen

Zhiyu Wang

Annan Shu

Qiangwei Huang

Jv Huang

Provided are a method and system for anomaly detection. The method includes: acquiring a picture of an object to be detected; inputting the acquired picture to each of a trained teacher network and a student network distilled from the teacher network, to obtain a feature map output by the teacher network and a feature map output by the student network, where the teacher network is trained by constructing a defective sample to learn feature distribution of normal samples from a pre-trained expert network; and determining a greatest anomalous pixel in a difference map between the feature map output by the teacher network and the feature map output by the student network as an anomaly value of the acquired picture, to output an anomaly detection result.

Fast anomaly detection method and system based on contrastive representation distillation

The present application discloses a method for inspecting a battery tab, the method including: obtaining a sectional view of a plurality of layers of tabs of a battery; identifying and analyzing the sectional view to obtain a plurality of connected domains, where each connected domain includes one tab or a plurality of tabs that are bonded with each other; determining, based on positions and a number of intersection points of tab bonding in each connected domain, a number of layers of tabs corresponding to the connected domain; calculating a total number of layers of the plurality of layers of tabs in the sectional view based on the number of layers of tabs corresponding to the connected domain; and determining, based on the total number of layers of tabs and a preset real number of layers of tabs, whether the plurality of layers of tabs are folded.

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Ningde, China

Can Chen