| CPC G06Q 40/08 (2013.01) [G06V 10/764 (2022.01)] | 16 Claims |
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1. A computer-implemented method, comprising:
auto-training an Artificial Intelligence (AI)-based classifier based on a first plurality of digital images to improve precision of the AI-based classifier;
accessing a second plurality of digital images corresponding to a property;
classifying, using the AI-based classifier, the second plurality of digital images into one or more AI containers based on one or more inspection points related to the property, wherein each AI container of the one or more AI containers comprises one or more secondary AI models;
scaling, by the one or more secondary AI models in a respective AI container of the one or more AI containers, one or more components in at least one digital image of the second plurality of digital images down to a specific pixel level;
detecting, by the one or more secondary AI models, a condition pertaining to the one or more components in the at least one digital image on a pixel level scale, wherein
the condition is at least one of a damage or a health status of a component of the one or more components,
the detecting of the condition pertaining to the one or more components is based on the scaling of the one or more components, and
the detecting comprises analyzing the at least one digital image based on the one or more inspection points associated with the respective AI container;
deriving a signal indicative of insurance loss based on the detected condition pertaining to the one or more components; and
generating inspection data based on the signal, wherein
the generated inspection data includes at least one of recommendations related to insurance risks or insurance loss prevention actions, or an analytics dashboard, and
the analytics dashboard indicates information on a health of the property in a case where the generated inspection data includes the analytics dashboard.
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