Live drone aegis and autonomous drone response

A system for object detection and response, the system comprising:

• a processor operatively coupled to a memory configured to store computer-readable instructions that, when executed by the processor, cause the processor to:
• receive a video stream from a camera sensor of one or more of a stationary camera and a first mobile autonomous vehicle (“MAV”);
• select a set of frames from the video stream;
• detect, by a machine learning model, a presence of an object in one or more frames of the set of frames;
• insert, by the machine learning model, bounding boxes in an area of the object in each of the one or more frames;
• annotate, by the machine learning model, the bounding boxes with one or more attributes of the object;
• store the one or more frames and the annotated bounding boxes in a database, the database configured to be searchable by at least one attribute of the one or more attributes;
• determine whether the object is true positive (“TP”) event or a false positive (“FP”) event;
• re-train the machine learning model using one or more of the database and the determination;
• and
• if it is determined that the object is a TP event, directing a second mobile autonomous vehicle (“MAV”) to a location of the object, wherein the location of the object is determined by location information associated with the camera sensor.