Procter & Gamble had two patents in big data during Q4 2023. The patent filed by The Procter & Gamble Co in Q4 2023 describes a digital imaging method for analyzing pixel data of an individual’s diaper change region to determine individual-specific skin characteristics. This method involves training a diaper change region skin model, analyzing images captured by a digital camera, generating individual-specific recommendations based on the skin characteristics, and providing these recommendations via a user interface. GlobalData’s report on Procter & Gamble gives a 360-degreee view of the company including its patenting strategy. Buy the report here.
Procter & Gamble grant share with big data 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: Artificial intelligence based system and methods for predicting skin analytics of individuals (Patent ID: US20230401625A1)
The patent filed by The Procter & Gamble Co. describes a digital imaging method for analyzing pixel data of an image of a diaper change region associated with an individual to determine individual-specific diaper change region skin characteristics. The method involves aggregating training images, training a diaper change region skin model, receiving an image of an individual captured by a digital camera, analyzing the image to determine individual-specific skin characteristics, generating individual-specific recommendations based on these characteristics, and providing the recommendations via a user interface. The recommendations can include suggestions for using a mobile app, practicing procedures related to diaper change regions, seeking healthcare, making lifestyle changes, or visiting a healthcare provider. The method also allows for real-time or near-real-time rendering of recommendations and can involve AI-based models trained with various algorithms.
The system includes an imaging server, an imaging application on a user computing device, and a diaper change region skin model trained with training images to determine skin characteristics. The system can receive images, analyze them, generate individual-specific recommendations, and provide them via a user interface. Additionally, the patent covers a tangible, non-transitory computer-readable medium storing instructions for the digital imaging method, which involves aggregating training images, training a diaper change region skin model, receiving and analyzing images, generating individual-specific recommendations, and providing them via a user interface. This method can help individuals address skin concerns in diaper change regions effectively based on personalized recommendations.
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