Facial Recognition Based Self-Firing Turret by Jason Scharff and Nolan Jimenez
Abstract: A turret that shoots nerf bullets was designed to be fired based on facial recognition cues; as a known target walks in front of the turret, the turret would fire at the known target and only when that target enters the frame. Due to time constraints, the turret was unable to properly aim at the target. Overall, however, the facial recognition component worked very well with a tested accuracy of 100% up to a distance of six feet, a false positive rate between 9 and 10%, and the average time to perform facial recognition was 1.70 seconds.
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