Tobacco shredding uniformity online detection system and detection device based on visual identification
By designing an online detection system for cutting tobacco intangible cutting uniformity based on visual recognition, the problem of low manual detection efficiency in the prior art is solved, efficient and accurate uniformity detection is achieved, and the demand for large-scale production is met.
CN119693310APending Publication Date: 2025-03-25CHINA TOBACCO GUANGXI IND
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Patent Information
- Application Number
- CN202411743149.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-11-29
- Publication Date
- 2025-03-25
AI Technical Summary
Technical Problem
In the prior art, manual detection of tobacco cuts is inefficient and is not suitable for large-scale and efficient production needs.
Method used
Design a tobacco cut uniformity online detection system based on visual recognition, including transmission module, image acquisition module, feature extraction module, intelligent analysis module, intelligent control module and display feedback module, and use automated detection to reduce manual dependence and improve detection efficiency.
Benefits of technology
Through the automated detection system, the accuracy and efficiency of tobacco cut uniformity detection is improved, the possibility of human error is reduced, and the demand for large-scale production is met.
✦ Generated by Eureka AI based on patent content.
Abstract
The invention relates to the technical field of tobacco processing and tobacco shred making, in particular to a tobacco shred cutting uniformity online detection system and device based on visual identification, and the detection system comprises a transmission module which is used for tobacco shred transmission. The image acquisition module is used for capturing a tobacco shred image; and preprocessing the tobacco shred image. And the feature extraction module is used for extracting feature parameters related to the uniformity from the preprocessed tobacco shred image by using a local binary pattern (LBP) algorithm. And the intelligent analysis module is used for comprehensively analyzing the extracted characteristic parameters by using a large model image segmentation algorithm and evaluating the uniformity of the tobacco shreds. And the intelligent control module is used for performing logic control on the state in the operation process of the device according to the uniformity result of the tobacco shreds. And the display feedback module is used for displaying the tobacco shred image and the detection result. According to the invention, the dependence on manual visual inspection is reduced by using automatic detection, the possibility of human errors is reduced, and the production efficiency is improved.
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