Automatic target recognition offers the ability for computers to find and classify objects of interest in imagery or live video streams. Using these tools, analysts can quickly sort through large quantities of data, focusing exclusively on the information of highest value.


The efficacy of ATR algorithms is dependent on the quality of video provided. Imagery that has more information allows these techniques to produce more accurate identifications; however, numerous factors, including environmental conditions, camera quality, and operator setup, can degrade the data collected.


ATCOM can enhance videos, improving resolution and contrast while removing effects like jitter, blur, and atmospheric turbulence, leading to higher quality data and more actionable information. This imagery can then be fed into automatic classifiers, improving their identification and recognition ability.