Wearing a mask has become part of everyday life since the start of the Covid-19 pandemic. For many facial recognition solutions, it has proven difficult to identify people whose faces are covered up. Previously, facial recognition algorithms failed to identify 20-50% of images of people wearing face masks, according to a report from the National Institute of Standards and Technology.
Our CovertMind embedded Facial Recognition (FR) technology can detect and recognise people who are wearing face masks. If this isn’t enough, if a subject is wearing a hat CovertMind can identify someone, even if this person is amongst a crowd. It homes in on parts of the face that are not covered up, such as the eyes, to verify their identity. Verification takes less than one second, with an accuracy rate of more than 90%.
So, what is facial recognition?
Facial recognition is a technology capable of identifying or verifying a subject through an image, video, or any visual element of a face. It is a method of biometric identification that uses that body measures, in this case, face and head, to verify the identity of a person through its facial biometric pattern and data. The technology collects a set of unique biometric data of each person associated with their face and facial expression to identify, verify and/or authenticate a person.
The objective of face recognition is, from the incoming image, to find a series of data of the same face in a set of training images in a database. The common difficulty is ensuring that this process is carried out in real-time, something that is not available to all facial recognition software providers.
This technology provides security personnel vital and potentially lifesaving information in order to effectively prepare for and neutralise security threats.
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