Battery defect detection device, method and system

A battery defect detection apparatus according to one embodiment disclosed herein includes a communication module, a processor, and a memory configured to store a first artificial intelligence model, a second artificial intelligence model, and instructions, wherein the instructions, when executed by the processor, cause the battery defect detection apparatus to obtain an image of a target product by using the communication module, input the image of the target product to a first artificial intelligence model to classify the target product, and when the target product is classified as normal, determine whether the target product is normal. The image of the object product is input to the second artificial intelligence model to determine whether the image of the object product corresponds to first data for classifying the object product as normal among the learning data of the first artificial intelligence model. 根据本文公开的一个实施例的电池缺陷检测装置包括通信模块、处理器、以及存储器，该存储器被配置为存储第一人工智能模型、第二人工智能模型、以及指令，其中指令在由处理器执行时使电池缺陷检测装置通过使用通信模块