Facial Mask Recognition Algorithms

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Thales Corgent FRP Accurately Reads Faces With Masks On

Often times, facial recognition systems implement algorithms that measure the different features of ones face -- Thales Corgent adapts to the new normal by implementing technology that can read a face with a mask on. With the current global health crisis, masks are mandatory in most areas.

The new technology is carried out by two kinds of tests recognizing faces. The first determines whether or not someone is wearing a mask and the second identifies if one is wearing a surgical mask or not. The most important part of this is a person's eyes to be able to carry out more accurate results. Thales trains its deep neural network algorithm to focus on that part of a person's face to attempt recognition.
Trend Themes
1. Facial Mask Recognition - Opportunity for developing advanced algorithms and technology that can accurately recognize faces with masks on.
2. Deep Neural Network Algorithm - Opportunity for training deep neural network algorithms to focus on the eyes for more accurate recognition results.
3. New Normal Technology - Opportunity for implementing technology that adapts to the current global health crisis by recognizing faces with masks on.
Industry Implications
1. Biometric Security - Opportunity for biometric security companies to develop facial recognition systems that can accurately recognize faces with masks on.
2. Healthcare Technology - Opportunity for healthcare technology companies to implement facial mask recognition algorithms to ensure safety and compliance with mask-wearing regulations.
3. Surveillance and Security - Opportunity for surveillance and security companies to incorporate facial mask recognition algorithms to enhance security measures and identify individuals even when wearing masks.

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