Face recognition under occluded factory conditions

With advances in computer vision, face recognition has become a prominent technique for personal authentication and identification in many situations. Due to the way usual face recognition algorithms work, however, it is still very difficult however to achieve a high level of accuracy in real-world situations despite these advances. For example, in factories and industrial environments where face recognition may be used to monitor safety and identify workers, the faces of the workers may be occluded (blocked or covered) by helmets, safety masks, goggles etc. which are typical safety gear in such environments, resulting in a drop of performance due to misclassification of faces.


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