Digital imaging and artificial intelligence (ai)-based systems and methods for analyzing oral care implement degradation

A digital imaging and artificial intelligence (AI)-based system configured to analyze oral care implement degradation, the digital imaging and AI-based system comprising:

• one or more processors;
• an oral analysis app comprising computing instructions configured to execute on the one or more processors;
• and
• an oral care implement artificial intelligence (AI) model, accessible by the oral analysis app, and trained with degradation data of one or more oral care implements, the oral care implement AI model further trained with pixel data of a plurality of training images depicting the one or more oral care implements comprising one or more types and having varied physical degradations at different time states across one or more expected oral care implement lifecycles, and the oral care implement AI model trained to output respective degradation values corresponding to the one or more oral care implements and their respective varied physical degradations at the different time states across the one or more expected oral care implement lifecycles,
• wherein the computing instructions of the oral analysis app when executed by the one or more processors, cause the one or more processors to:
• obtain a set of one or more images of an oral care implement of a user, the set of one or more images comprising pixel data as captured by an imaging device, and the pixel data depicting physical features of the oral care implement,
• detect a type of the oral care implement, the type corresponding to a specific expected oral care implement lifecycle for the detected oral care implement,
• input into the oral care implement AI model the one or more images of the oral care implement, the input causing the oral care implement AI model to output a user-specific degradation value of the oral care implement based on the type of the oral care implement and the pixel data depicting the physical features of the oral care implement,
• generate, based on the output of the user-specific degradation value, a user-specific degradation analysis for the oral care implement, the degradation analysis comprising a comparison between the oral care implement of the user at an estimated time state and a target oral care implement at a target time state,
• output, based on the user-specific degradation analysis, a feedback indication designed to address at least one feature identifiable within the pixel data depicting the physical features of the oral care implement.