Denso had one patents in social media during Q4 2023. The patent filed by Denso Corp in Q4 2023 describes a computer system that uses machine learning to analyze historical driving data and generate a reconstructed driving data output. This output includes a reconstruction error score that indicates the likelihood of a driving data input corresponding to desired driving behavior. The system can determine a driving score based on this reconstruction error score, identify driver notifications, and transmit them to a computing device or display. GlobalData’s report on Denso gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
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Denso grant share with social media as a theme is 0% in Q4 2023. Grant share is based on the ratio of number of grants to total number of patents.
Recent Patents
Application: Systems and machine learning models for automated vehicle monitoring (Patent ID: US20230343149A1)
The patent filed by Denso Corp describes a computer system that utilizes machine learning models and historical driving data to generate reconstructed driving data outputs. These outputs include reconstruction error scores that indicate the likelihood of a driving data input corresponding to desired driving behavior. The system then determines a driving score based on these error scores, identifies driver notifications, and transmits them to a computing device for display or storage. The system can also incorporate contextual driving data inputs, such as weather or traffic data, to further train the machine learning model and improve the accuracy of the driving scores and notifications provided to the driver.
Additionally, the system allows for the identification of driving improvement goals, monitoring of driving scores over time, and providing status notifications to the driver based on these scores. It also offers recommended driving improvement goals, presents driving improvement reward items based on driver profiles, and adjusts insurance premiums based on the driver notifications and driving scores. The system can prioritize driver notifications based on various factors, such as notification weight, driver preferences, and driving context inputs. Overall, the computerized method described in the patent aims to automate vehicle monitoring by leveraging machine learning models and historical driving data to provide real-time feedback and notifications to drivers for improved driving behavior and safety.
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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.
