A cigarette case counting leak-proof scanning intelligent system

The layered architecture of the intelligent cigarette box counting system, combined with industrial cameras and AI vision counting modules, solves the problems of accuracy and missed detection in cigarette box counting on the tobacco logistics conveyor line, achieving low-cost, uninterrupted, efficient deployment and accurate counting.

CN122433775APending Publication Date: 2026-07-21CHINA TOBACCO GENERAL CO JIANGXI CO
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
CHINA TOBACCO GENERAL CO JIANGXI CO
Filing Date
2026-04-22
Publication Date
2026-07-21

AI Technical Summary

Technical Problem

In existing tobacco logistics finished product conveying lines, the cigarette box counting system suffers from problems such as IO trigger counting distortion, insufficient identification of scanning blind spots, frequent communication anomalies, and highly invasive system modification, resulting in inaccurate missed scan detection and high modification costs.

Method used

It adopts a layered architecture consisting of a perception layer, an edge computing layer, a control execution layer, and a human-machine interaction layer. It utilizes industrial cameras and fixed barcode scanners combined with an AI vision counting module, and uses YOLO target detection algorithm and multi-target tracking algorithm to identify and count cigarette boxes. The fusion comparison and judgment module verifies the actual number of boxes in real time, the IO control module drives the action of the actuator, and the human-machine interaction layer provides the operation interface.

Benefits of technology

It achieves improved accuracy in cigarette box counting without interrupting production and at low cost, solves the core defects of IO-triggered counting distortion and missed detection, enhances the maintainability and scalability of the system, and improves the counting accuracy and the accuracy of missed detection.

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Abstract

The present application provides a kind of intelligent system of tobacco case counting and leak scanning prevention, comprising: perception layer, edge computing layer, control execution layer and man-machine interaction layer.The present application provides a kind of intelligent system of tobacco case counting and leak scanning prevention, with AI visual counting as independent real box quantity benchmark, fundamentally solves the core defects of traditional scheme IO trigger counting distortion, no real benchmark, system follows the design principle of "three invariable three new", retains all original production equipment and control logic, new equipment is linked with original system through IO signal, realizes the rapid deployment of non-stop production, low cost, at the same time, hierarchical model deployment architecture is used, model replacement does not need to recompile software, greatly improves the maintainability and expansibility of system, through actual test, AI visual counting accuracy is improved, leak scanning detection accuracy is significantly improved, can be widely applied to tobacco logistics and other similar conveying line scenes.
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