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电动车电池

光学字符识别

深度学习视觉算法读取电池上的字母数字字符

EV Battery Cylinder Optical Character Recognition

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制造商必须能快速准确地找到并解码打印在电池底部的字母数字代码。镜面光和眩光会使机器视觉系统难以定位和识别字符,尤其是字符变形时。检测系统要能承受这些挑战,才能成功解码字符。

VisionPro ViDi’s deep learning-based tools locate and read deformed characters, despite image formation challenges. The ViDi Blue-Locate tool locates the region of interest (ROI)—in this case, the top of each cylinder battery, which is marked with an alphanumeric code. The ViDi Blue-Read tool’s pre-trained omni-font capabilities recognize characters even if they are obscured by glare and contrast. To train the software, an engineer defines the region of interest on images which contain a representative set of code characters. During training and validation, a technician re-labels only the missed characters until the software’s model correctly identifies all the characters. This deep learning-based approach to OCR saves time during training and development by reducing excessive labeling and ensures accurate reads.

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