Paper product packaging defect real-time detection system based on edge calculation

Through technologies such as polarization-structured light fusion imaging, heterogeneous computing, and deep reinforcement learning, the problems of low efficiency, insufficient accuracy, and high system energy consumption of traditional detection methods have been solved, and real-time, accurate detection and automatic repair on high-speed production lines have been achieved, supporting the intelligent transformation of enterprises.

CN120689285APending Publication Date: 2025-09-23HUNAN NINGXIANG XIANGFENG COLOR PRINTING PACKAGING CO LTD
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Patent Information

Application Number
CN202510736894.9
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-06-04
Publication Date
2025-09-23

AI Technical Summary

Technical Problem

Traditional manual inspection methods are inefficient and have a high missed detection rate. Machine vision inspection accuracy is insufficient. Edge computing systems have high data return delays and demanding computing resources. They lack closed-loop repair capabilities, have high system energy consumption, and isolated data, making it difficult to meet the real-time inspection needs of high-speed production lines.

Method used

It adopts technologies such as polarization-structured light fusion imaging technology, heterogeneous computing architecture, multi-scale feature enhancement network, closed-loop repair execution system, deep reinforcement learning decision-making, federated learning update and energy optimization management to achieve multimodal data acquisition, real-time processing, zero-packet loss communication, automatic repair and cross-production line collaborative optimization.

Benefits of technology

It improves detection accuracy and efficiency, reduces missed detection rate and false detection rate, meets high-speed production needs, realizes system energy saving and data collaboration, and supports enterprise intelligent upgrades.

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Abstract

The invention discloses a paper product packaging defect real-time detection system based on edge calculation, and relates to the technical field of packaging defect detection. Comprising a multi-modal data acquisition module for acquiring packaging multi-dimensional image data by using a camera and a sensor; the edge intelligent processing unit and the heterogeneous architecture are combined with dynamic scheduling to realize rapid data processing; the defect feature enhancement network is used for improving an algorithm to accurately extract defect features; the edge decision optimization engine is used for reinforcing learning to optimize a detection strategy; the industrial-grade communication module is used for guaranteeing data transmission through 5G and TSN hybrid; the closed-loop repair execution system is used for realizing automatic repair of defects; in addition, auxiliary modules such as a traceability module and an energy optimization module are further arranged, and all the modules cooperate to achieve efficient detection and repair of packaging defects. The paper product packaging detection level is greatly improved, the speed is improved by 2.5 times, energy consumption is reduced, detection and closed loop repairing are achieved, intelligent upgrading of a production line is promoted, and the labor cost and the product reject ratio are reduced.
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