Tetra Laval International has been granted a patent for a monitoring system that detects and grades deviations in liquid food packaging containers. The method involves analyzing image data to identify deviations, processing them with pre-computed basis functions, and determining a grading based on the analysis. GlobalData’s report on Tetra Laval International gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Tetra Laval International, Fiber-reinforced material joining techniques was a key innovation area identified from patents. Tetra Laval International's grant share as of June 2024 was 62%. Grant share is based on the ratio of number of grants to total number of patents.

Detection and grading of deviations in packaging containers

Source: United States Patent and Trademark Office (USPTO). Credit: Tetra Laval International SA

The patent US12045971B2 outlines a method for detecting deviations in packaging containers for liquid food within a manufacturing environment. The process begins with obtaining image data of either the packaging container or its starting material. This data is then analyzed to identify any current deviations, which are processed in relation to a set of basis functions linked to the specific type of deviation. The method further involves determining a grading for the deviation based on a current set of weights that represent the deviation's characteristics. Additional steps include mapping these weights to a grading database, processing the deviation to ascertain its type, and defining a feature vector to compute the weights.

Moreover, the patent describes the generation of basis functions associated with deviation types, which involves processing reproductions of packaging containers that exhibit specific deviations. The system is designed to facilitate real-time monitoring and control within the manufacturing plant, including the ability to communicate control instructions based on the grading and deviation type. The method encompasses a variety of potential deviations, such as wrinkles, unsealed flaps, and flaws in the packaging material. It also includes provisions for alert notifications and correlating deviations with production parameters, thereby enhancing the quality control processes in liquid food packaging manufacturing. The patent also covers a non-transitory computer-readable medium containing instructions for executing the described method, as well as a system configured to perform these detection processes.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.