Techniques for object identification

A mobile device, comprising:

• one or more memories;
• and
• one or more processors in communication with the one or more memories and configured to execute instructions stored in the one or more memories to perform operations to:
• capture, by a camera of the mobile device, an image, wherein the image includes a depiction of an authorization card;
• generate, by the mobile device, a feature vector corresponding to the image, the feature vector comprising a respective numeric representation of a set of properties of the image;
• provide, by the mobile device, the feature vector of the image as an input to a machine learning model, wherein the machine learning model is trained to;
• assign a confidence score to the feature vector based on a position of the feature vector in an n-dimensional space relative to one or more known feature vectors, wherein each axis in the n-dimensional space corresponds to a respective property in the set of properties;
• and
• output a predicted card label corresponding to the authorization card based on the feature vector;
• receive, by the mobile device, information that identifies the authorization card as an output from the machine learning model, the information that identifies the authorization card comprising the predicted card label;
• compare, by the mobile device, the information that identifies the authorization card to one or more criteria to verify the predicted card label outputted by the machine learning model;
• and
• perform, by the mobile device, an operation based at least in part on the comparing of the information that identifies the authorization card to the one or more criteria.

A non-transitory computer-readable medium storing a plurality of instructions that, when executed by one or more processors of a mobile device, cause the one or more processors to perform operations to:

• capture, by a camera of the mobile device, an image, wherein the image includes a depiction of an authorization card;
• generate, by the mobile device, a feature vector corresponding to the image, the feature vector comprising a respective numeric representation of a set of properties of the image;
• provide, by the mobile device, the feature vector of the image as an input to a machine learning model, wherein the machine learning model is trained to:
• assign a confidence score to the feature vector based on a position of the feature vector in an n-dimensional space relative to one or more known feature vectors, wherein each axis in the n-dimensional space corresponds to a respective property in the set of properties;
• and
• output a predicted card label corresponding to the authorization card based on the feature vector;
• receive, by the mobile device, information that identifies the authorization card as an output from the machine learning model, the information that identifies the authorization card comprising the predicted card label;
• compare, by the mobile device, the information that identifies the authorization card to one or more criteria to verify the predicted card label outputted by the machine learning model;
• and
• perform, by the mobile device, an operation based at least in part on the comparing of the information that identifies the authorization card to the one or more criteria.