A container panoramic data acquisition system for quality detection

CN121707805BActive Publication Date: 2026-07-24GUANGDONG XINHUI CIMC SPECIAL TRANSPORT EQUIPS
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
GUANGDONG XINHUI CIMC SPECIAL TRANSPORT EQUIPS
Filing Date
2025-12-23
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing automated container quality inspection solutions struggle to reliably and stably inspect container markings when faced with severe interference in the factory environment, large target object sizes, and a wide distribution of inspection elements. This results in low inspection efficiency, high costs, and a high risk of missed or incorrect inspections.

Method used

A combination of signal docking device, panoramic acquisition device and edge computing terminal is adopted. Multiple wide-angle and telephoto industrial cameras are triggered by infrared sensors to collect raw image data of five sides of the container. Image distortion correction and stitching processing are performed to generate panoramic images, and quality detection algorithms are called for intelligent analysis.

Benefits of technology

It enables stable acquisition and intelligent analysis of high-quality data from multiple surfaces of containers in complex factory environments, improving inspection efficiency, avoiding missed and incorrect inspections, and promoting the automation and intelligent development of container production lines.

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Abstract

The application discloses a container panoramic data acquisition system for quality detection, and relates to the technical field of container quality detection.The system comprises a signal docking device, a panoramic acquisition device and an edge computing terminal, wherein the panoramic acquisition device is built based on a semi-closed gantry structure and is used for triggering a plurality of wide-angle cameras and long-focus cameras to collect five-surface original image data of the container through infrared sensors; the edge computing terminal is used for, for each container, first receiving five-surface original image data of the corresponding container body, then performing image distortion correction and splicing processing on all local images collected in the five-surface original image data for the same panel to generate five-surface panoramic images of the corresponding container body, and finally calling a quality detection algorithm corresponding to a quality detection item according to the five-surface panoramic images, the corresponding container type and the container number to obtain corresponding quality detection results, so that the purposes of high-quality multi-surface panoramic data acquisition and intelligent analysis of the container can be achieved.
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