Brady’s patented barcode-reading system utilizes machine learning models to identify decoding problems. When an issue is detected, data is sent to a remote server for analysis. The server determines potential causes and takes actions, such as notifying individuals. GlobalData’s report on Brady 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 Brady, Pressure Sensitive Adhesive Tape was a key innovation area identified from patents. Brady's grant share as of May 2024 was 46%. Grant share is based on the ratio of number of grants to total number of patents.
Remote barcode-reading system with machine learning for decoding problems
A recently granted patent (Publication Number: US12001916B1) discloses a barcode-reading system that utilizes a combination of barcode-reading devices, machine learning models, and a remote server to address decoding problems efficiently. The system involves transmitting data from the barcode-reading devices to the server, where machine learning models analyze the information to identify decoding issues. Based on the processing results, the system determines potential causes of the problem and takes corrective actions to resolve it, such as sending notifications to user devices.
Furthermore, the patent details various scenarios within the system, including the transmission of different data amounts before and after detecting a decoding problem, adjusting device settings based on comparisons with standard settings, and identifying hardware issues like damaged optics or printing device ink levels. By leveraging machine learning models and remote processing, the barcode-reading system aims to enhance the accuracy and efficiency of decoding operations, ultimately improving the overall performance of barcode scanning processes in various environments.
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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.
