Image recognition based on signature analysis

A method, comprising:

• receiving, by one or more processing circuits, from one or more cameras of a building, image data;
• extracting, by the one or more processing circuits, a plurality of image frames from the image data;
• generating, by the one or more processing circuits, using a first machine learning model, a plurality of image signatures that describe features within the plurality of image frames;
• storing, by the one or more processing circuits, responsive to generating the plurality of image signatures, the plurality of image signatures in a database;
• receiving, by the one or more processing circuits, from a user device, a natural language query;
• generating, by the one or more processing circuits, using a second machine learning model, a textual signature that describes the natural language query;
• and
• performing, by the one or more processing circuits, responsive to generating the textual signature, a search of the database for one or more matches between the textual signature and the plurality of image signatures.

One or more non-transitory storage media storing instructions thereon that, when executed by one or more processors, cause the one or more processors to perform operations comprising:

• receiving, from one or more cameras of a building, image data;
• extracting a plurality of image frames from the image data;
• generating, using a first machine learning model, a plurality of image signatures that describe features within the plurality of image frames;
• storing, responsive to generating the plurality of image signatures, the plurality of image signatures in a database;
• receiving, from a user device, a natural language query;
• generating, using a second machine learning model, a textual signature that describes the natural language query;
• and
• performing, responsive to generating the textual signature, a search of the database for one or more matches between the textual signature and the plurality of image signatures.