Artificial intelligence systems for identifying objects

Abstract

A process for object identification comprising extracting object shape features and object color features from digital images of an initial object and storing the extracted object shape features and object color features in a database where said extracted object shape features and object color features are associated with a unique identifier associated with said object and repeating the first step for a plurality of different objects. Then extracting object shape features and object color features from a digital image of an object whose identity is being sought and correlating the extracted object shape features and object color features of the object whose identity is being sought with the extracted object shape features and object color features previously stored in the database. If a first correlation of the extracted object shape features is better than a first threshold value for a given object associated with an identifier in the database and if a second correlation of the extracted object color features is better than a second threshold value for the given object, then making a determination that the object whose identity is being sought is said given object.