Recent advances in neuroscience, signal processing, machine learning, and related technologies have made it possible to reliably detect brain signatures specific to visual target recognition in real time. Utilizing these technologies together has shown an increase in the speed and accuracy of visual target identification over traditional visual scanning techniques. Images containing a target of interest elicit a unique neural signature in the brain (e.g. P300 event-related potential) when detected by the human observer. Computer vision exploits the P300-based signal to identify specific features in the target image that are different from other non-target images. Coupling the brain and computer in this way along with using rapid serial visual presentation (RSVP) of the images enables large image datasets to be accurately interrogated in a short amount of time. Together this technology allows for potential military applications ranging from image triaging for the image analyst to target geo-tagging for ground troops.