Patent ID: 11864562
Assignee: WALMART APOLLO, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC A  G | IPC A  G

Claim 0:
1. A system ensuring quality for cuts of meat, the system comprising:
an image capture device, wherein the image capture device is configured to capture an image of a cut of meat;
a depth sensor, wherein the depth sensor is configured to capture depth data associated with the cut of meat;
a database, wherein the database is configured to store meat cut specifications; and
wherein the database, the depth sensor, and the image capture device are each remotely located from each other and are coupled to a control circuit, and wherein the control circuit is configured to during an execution phase subsequent to a training phase:
receive, from the image capture device, the image of the cut of meat and receive from the depth sensor the depth data associated with the cut of meat;
retrieve, from the database, a meat cut specification associated with the cut of meat;
evaluate the cut of meat based on the meat cut specification associated with the cut of meat, and the image of the cut of meat and the depth data associated with the cut of meat; and
classify the cut of meat based on the evaluation of the cut of meat;

wherein the meat cut specification is created by the control circuit using a neural network model during the training phase, wherein during the training phase the control circuit receives training images including markings, wherein the training images with the markings are presented on a screen of an electronic device with a plurality of classification indicators, each of the plurality of classification indicators indicating a meat classification, wherein the markings in the training images are provided onto the image by a user utilizing the electronic device, and wherein the user designates each of the areas in each of the images indicated by the markings as being properly or improperly cut by selecting a classification indicator on the screen to associate with the designated area, wherein during the training phase the control circuit generates, using the neural network model, the meat cut specification based upon an analysis of the areas in the training images bounded by the markings and the designations of the user.