Facial recognition via surveillance systems can be ineffective when the person's face is not clearly visible or if external factors prevent accurate identification of the facial features. Sasken has been granted a patent for inventing an algorithm that addresses these situations. With a well-defined expert system and machine learning, images captured via surveillance systems would be processed and classified to correctly identify a human presence without relying on facial features alone.