物品识别方法、设备、存储介质和程序产品

By tracking the trajectory of items in the self-service checkout system and assigning interference suppression levels, the problem of interference affecting product recognition is solved, achieving higher recognition accuracy and system stability.

CN121963102BActive Publication Date: 2026-07-17ZHE JIANG SHEN XIANG ZHI NENG KE JI YOU XIAN GONG SI

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
ZHE JIANG SHEN XIANG ZHI NENG KE JI YOU XIAN GONG SI
Filing Date
2026-04-01
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

In self-service checkout loss prevention systems, fixed non-product objects (such as advertising stickers, cable storage boxes, disinfectant bottles, and other interfering objects) can affect the accuracy of product recognition, leading to false detections and incorrect recognition results, thus reducing the system's accuracy.

Method used

By tracking the trajectory of the target object in multiple consecutive frames of images and assigning an interference suppression level to each frame, the proportion of image frames with high interference suppression levels is calculated, and interference objects are automatically identified. Damage prevention prompts are only triggered when the proportion is low, thus suppressing false detections and false alarms.

Benefits of technology

It improves the accuracy of item recognition, effectively distinguishes between interfering objects and goods, reduces false detections and false alarms, and enhances the robustness of the system in real-world scenarios.

✦ Generated by Eureka AI based on patent content.

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Abstract

本申请提供一种物品识别方法、设备、存储介质和程序产品,其中方法包括:获取待处理的当前物品目标,当前物品目标是对目标区域的当前帧图像进行目标检测得到的;确定所述当前物品目标在连续多帧图像中的目标轨迹信息,所述连续多帧图像包括所述当前帧图像,所述目标轨迹信息包括所述当前物品目标在所述连续多帧图像中对应的干扰抑制等级,所述干扰抑制等级与所述当前物品目标受干扰物影响的程度正相关;计算所述连续多帧图像中所述干扰抑制等级大于预设级别阈值的图像帧占比;若所述图像帧占比小于第一预设占比,基于所述干扰抑制等级对所述当前物品目标进行防损提示。本申请实现了抑制因干扰物引起的物品误检与误报,提高物品识别准确度。
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