关键词: 图像拼接；图像压缩；试验状态

Abstract: To real-time grasp the morphological changes during the battery test process, ensure test safety, improve data reliability, and achieve automated management to avoid equipment damage or personnel injury. Using at least one camera to capture real-time footage of the tested battery, arranging multiple images in chronological order according to their timestamps to obtain a sequence of images; Then, extract the position of the tested battery from the image sequence to obtain a sequence of image blocks; Next, for each image block in the sequence of image blocks, it is determined whether the edge has a complete boundary of a specific color, the image blocks with complete boundaries are deleted, and the remaining image blocks are concatenated and compressed to obtain a compressed packet; Finally, the compressed package is stored locally, and the test status is restored locally. The complete process of battery testing is reproduced through local restoration technology, achieving automatic and comprehensive monitoring of battery testing status. The experimental results show that the battery test status monitoring technology based on machine vision has lower storage space, storage time, bandwidth occupancy time, and resolution indicators than traditional methods.

Key words: image stitching; image compression; test status