Pioneer had eight patents in artificial intelligence during Q2 2024. Pioneer Corp’s patents in Q2 2024 include an information processing program for generating intent information for voice notifications to drivers, and a measuring apparatus that detects attached matter on a transmissive member by analyzing reflected light. GlobalData’s report on Pioneer gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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Pioneer had no grants in artificial intelligence as a theme in Q2 2024.
Recent Patents
Application: Non-transitory computer readable storage medium, information processing method, and application device (Patent ID: US20240194181A1)
The patent filed by Pioneer Corp. describes a non-transitory computer-readable storage medium containing an information processing program that enables a computer to execute a process. This process involves generating intent information that includes character string information indicating a notification text to be output as a voice output to a driver of a moving object, along with aiming information specifying the type of notification. The intent information is then transmitted to an information processing apparatus that generates the notification text based on this intent information. The patent also includes various claims related to generating intent information with additional details such as content priority, notification priority, app priority, and utilizing machine learning models to generate intent information based on app notification text.
In summary, the patent focuses on a system that generates intent information for notifications to be delivered as voice outputs to drivers of moving objects. The intent information includes character string information and aiming information, which are transmitted to an information processing apparatus for generating the actual notification text. The patent also covers various aspects of generating intent information, including content priority, notification priority, app priority, and the use of machine learning models to enhance the process. Overall, the patent aims to improve the efficiency and accuracy of delivering notifications to drivers through voice outputs in moving vehicles.
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