Fujitsu had 12 patents in internet of things during Q2 2024. Fujitsu Ltd has filed patents for systems that use video analysis to detect abnormalities in the registration of commodity products to accounting machines. These systems analyze video images of individuals scanning product codes, identify the products being scanned, calculate reliability scores for the scanned items, and generate alerts for any abnormalities in the registration process. The technology aims to improve accuracy and security in retail transactions. GlobalData’s report on Fujitsu gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Fujitsu had no grants in internet of things as a theme in Q2 2024.
Recent Patents
Application: Recording medium, alert generation method, and information processing apparatus (Patent ID: US20240212351A1)
The patent filed by Fujitsu Ltd. describes a system that uses machine learning to analyze video images of individuals scanning product codes at an accounting machine. The system then identifies the specific product being scanned, compares it to the registered item, and generates an alert if an abnormality is detected. The process involves inputting video images and text descriptions of product candidates into machine learning models to determine the correct product, allowing for accurate identification and alert generation in case of discrepancies.
Furthermore, the system can generate alerts for various types of abnormalities, such as price differences or identification information discrepancies, and can transmit these alerts to store clerks for further action. The technology is designed for use in self-service checkout terminals and can handle a wide range of product types by referencing hierarchical data structures. Overall, the patent outlines a sophisticated alert generation program that leverages machine learning to enhance product scanning accuracy and security in retail environments.
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