Method and system for artificial intelligence-based analytics of dental pads of livestock

A method for automated analytics of visual data related to livestock of hoofed mammals, comprising:

• receiving, by a dental analytics server (DAS) node configure to host a machine-learning (ML) module, video data comprising a dental pad of the livestock from the at least one user-entity node;
• sampling, by the DAS node, a plurality of frames from the video data;
• confirming, by the DAS node, that the dental pad is complete based on the sampled plurality of frames;
• responsive to the confirmation, parsing, by the DAS node, the video data to derive a plurality of key classifying features;
• querying, by the DAS node, a local database to retrieve local historical dental pads-related data based on the plurality of key classifying features;
• generating, by the DAS node, at least one classifier feature vector based on the plurality of key classifying features and the local historical dental pads-related data;
• providing, by the DAS node, the at least one classifier feature vector to the ML module configured to generate a livestock age predictive model for producing at least one age definition parameter;
• and
• generating, by the DAS node, a livestock age verdict for the at least one user-entity node based on the at least one age definition parameter.

A non-transitory computer-readable medium comprising instructions, that when read by a processor, cause the processor to perform:

• receiving video data comprising a dental pad of the livestock from the at least one user-entity node;
• sampling a plurality of frames from the video data;
• confirming that the dental pad is complete based on the sampled plurality of frames;
• responsive to the confirmation, parsing the video data to derive a plurality of key classifying features;
• querying a local database to retrieve local historical dental pads-related data based on the plurality of key classifying features;
• generating at least one classifier feature vector based on the plurality of key classifying features and the local historical dental pads-related data;
• providing the at least one classifier feature vector to a machine-learning module configured to generate a livestock age predictive model for producing at least one age definition parameter;
• and
• generating a livestock age verdict for the at least one user-entity node based on the at least one age definition parameter.