Classifying camera images to generate alerts

A system comprising:

• at least one processor;
• and a data store coupled to the at least one processor having instructions stored thereon which, when executed by the at least one processor, causes the at least one processor to perform operations comprising:
• receiving mission specific data, the mission specific data including non-image data descriptive of attributes of a suspect;
• converting the mission specific data into attribute classes recognizable by image recognition classifiers, wherein the image recognition classifiers are pre-trained to detect objects corresponding to the attributed classes within digital images;
• obtaining, from a wearable camera system, low resolution images of a scene and high resolution images of the scene;
• detecting, within the low resolution images using a low resolution image classifier, an object that corresponds to one of the attribute classes;
• in response to detecting the object that corresponds to one of the attribute classes:
• providing, for presentation to a user of the wearable camera system by a presentation system, an first alert indicating a potential detection of the suspect, and
• providing, to a high resolution image classifier, the high resolution images;
• obtaining, from the high resolution image classifier, a confirmation of the detected object from the low resolution images;
• and
• in response to obtaining the confirmation, providing, for presentation to the user by the presentation system, a second alert indicating confirmation that the object has been detected.

A non-transitory computer readable storage medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:

• receiving mission specific data, the mission specific data including non-image data descriptive of attributes of a suspect;
• converting the mission specific data into attribute classes recognizable by image recognition classifiers, wherein the image recognition classifiers are pre-trained to detect objects corresponding to the attributed classes within digital images;
• obtaining, from a wearable camera system, low resolution images of a scene and high resolution images of the scene;
• detecting, within the low resolution images using a low resolution image classifier, an object that corresponds to one of the attribute classes;
• in response to detecting the object that corresponds to one of the attribute classes:
• providing, for presentation to a user of the wearable camera system by a presentation system, an first alert indicating a potential detection of the suspect, and
• providing, to a high resolution image classifier, the high resolution images;
• obtaining, from the high resolution image classifier, a confirmation of the detected object from the low resolution images;
• and
• in response to obtaining the confirmation, providing, for presentation to the user by the presentation system, a second alert indicating confirmation that the object has been detected.