Methods, systems, and computer-readable media for assessing meat quality

A meat assessment system, comprising:

• at least one processor;
• memory accessible to the at least one processor and comprising computer executable instructions, which when executed by the at least one processor, causes the system to perform operations including:
• determining video data comprising a sequence of frames, wherein at least some of the frames depict a part of a carcase to be quality assessed;
• for a first frame of the sequence of frames:
• a) determining a frame suitability score for assessing a first trait;
• b) responsive to the frame suitability score being greater than a threshold frame suitability score for the first trait, determining the frame as a suitable frame for assessing the first trait;
• c) determining, by a segmentation model, a region of interest in the frame for assessing the first trait;
• d) determining, by a first trait prediction model, a prediction score for the first trait based on the determined region of interest;
• and
• e) determining an assessment confidence rating for the first trait;
• responsive to determining that the assessment confidence rating for the first trait has not exceeded the assessment confidence threshold for the first trait, performing steps a) to e) for a subsequent frame in the sequence;
• and
• responsive to determining that the assessment confidence rating for the first trait has exceeded the assessment confidence threshold for the first trait, determining a quality assessment measure of the first trait based on the prediction score for the first trait of the determined suitable frames.

A non-transitory machine-readable medium storing instructions which, when executed by one or more processors, cause an electronic apparatus to perform operations including:

• determining video data comprising a sequence of frames, wherein at least some of the frames depict a part of a carcase to be quality assessed;
• for a first frame of the sequence of frames:
• a) determining a frame suitability score for assessing a first trait;
• b) responsive to the frame suitability score being greater than a threshold frame suitability score for the first trait, determining the frame as a suitable frame for assessing the first trait;
• c) determining, by a segmentation model, a region of interest in the frame for assessing the first trait;
• d) determining, by a first trait prediction model, a prediction score for the first trait based on the determined region of interest;
• and
• e) determining an assessment confidence rating for the first trait;
• responsive to determining that the assessment confidence rating for the first trait has not exceeded the assessment confidence threshold for the first trait, performing steps a) to e) for a subsequent frame in the sequence;
• and
• responsive to determining that the assessment confidence rating for the first trait has exceeded the assessment confidence threshold for the first trait, determining a quality assessment measure of the first trait based on the prediction score for the first trait of the determined suitable frames.