A drum labeling system and rotary drum labeling machine based on AI vision

The AI ​​vision-based barrel labeling system utilizes a single top-mounted vision acquisition unit in conjunction with a ring-shaped reflector to achieve precise identification and positioning of the circumferential seams of the barrel. This solves the problems of high cost, low accuracy, and poor stability caused by multi-camera layouts, improves labeling accuracy and equipment stability, and adapts to the automated production needs of barrels of different specifications.

CN122126538APending Publication Date: 2026-06-02ZHUHAI LONGTEC CORP LTD +2
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHUHAI LONGTEC CORP LTD
Filing Date
2026-05-07
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

In existing industrial drum labeling technologies, multi-camera distributed recognition solutions suffer from problems such as high hardware costs, low accuracy, cumbersome debugging, poor stability, and bloated structure, failing to meet the demands of high-precision, high-efficiency, and low-cost automated production.

Method used

The system employs an AI vision-based barrel labeling system, which includes a central control module, a barrel conveying module, a circumferential barrel rotating module, an AI optical reflection vision module, and a labeling execution module. Through a single top vision acquisition unit working in conjunction with a ring reflector, it achieves panoramic image acquisition and precise positioning of the barrel's circumferential seams. Combined with parameter adaptation and anomaly warning modules, it ensures system stability and accuracy.

Benefits of technology

It significantly reduces hardware and maintenance costs, improves positioning and labeling accuracy, has high system integration, optimizes space utilization, and is compatible with different sizes of barrels. It solves the problems of high cost, cumbersome debugging, and large errors in traditional multi-camera layouts, and improves labeling pass rate and equipment stability.

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Abstract

This invention discloses an AI vision-based barrel labeling system and a rotating barrel labeling machine. The system includes a central control module, barrel conveying, circumferential barrel rotation, optical reflection vision, and labeling execution modules. The labeling machine includes a frame, conveying, adapter, barrel rotation, reflection, vision, and labeling components. The core innovation lies in using four reflectors arranged in a ring around the barrel, combined with a single top vision camera, to synchronously reflect and converge the circumferential barrel seam features onto a single optical path. The camera's optical axis is coaxially aligned with the barrel's center, eliminating the need for multiple cameras. This invention completely solves the problems of coordinate system deviation, light and shadow interference, and cumbersome maintenance associated with traditional multi-camera systems. It features error self-correction, uniform light imaging, and simplified maintenance, achieving high-precision barrel seam recognition and labeling. It is adaptable to various barrel sizes, has a compact structure, low cost, and high stability, making it suitable for large-scale automated production.
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Citation Information

Patent Citations

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    CN119858708A

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    CN203078840U

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    CN219915404U

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    CN224159560U

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