CyberLink and Sightcorp each upgrade biometric facial recognition with mask detection
CyberLink has enhanced its biometric facial recognition software development kit with mask detection and other social distancing features to help businesses and public space reopen post-COVID-19, the company announced.
FaceMe delivers high facial recognition accuracy, scoring a 99.7 percent accuracy rate on the NIST Facial Recognition Vender Test (FRVT) 1:1. The technology can instantly detect if people are wearing masks and if the mask covers the mouth and nose, without compromising on its facial recognition accuracy, according to the company.
An edge-based, cross-platform SDK, the platform is available for integration with retail PoS systems, security cameras, digital signage and connected devices to detect masks and notify responsible personnel if individuals are not wearing masks. FaceMe enables touchless sign-in and payment, employee time and attendance tracking, and access monitoring, among other applications.
Future plans include upgrading FaceMe with thermal body imaging and crowd counting to operate in crowded public spaces to prevent the spread of the virus.
“It’s no question that COVID-19 has changed the way we work and live, with a timetable for a certain return to normalcy riddled with uncertainty. It is now a fact of life, alongside the idea that wearing a mask in public is essential protection to fight the virus,” said Dr. Jau Huang, CEO of CyberLink, in a prepared statement. “With the power of AI, FaceMe can help ensure that we are all doing our part and wearing a mask in public while also enabling key business-oriented contactless solutions to prevent the spread of the coronavirus and other diseases now, and in the future.”
Sightcorp adds mask detection to crowd analysis software
Sightcorp has updated its crowd analysis software for retail and digital signage with real-time face mask detection to help companies abide by COVID-19 regulation that makes Personal Protection Equipment mandatory, the company announced.
“I am happy that our team was able to respond and act quickly in the development of our face mask detection software,” said Joyce Caradonna, CEO Sightcorp, in a prepared statement. “With this addition to our audience analytics product, we are glad to support businesses in creating a safer environment in an efficient and cost-effective way.”
Mask wearing requirements may differ from country to country, as some might even fine people for not wearing them. However, they are a global requirement in public spaces where the 2-meter distance cannot be held, the company notes.
DeepSight leverages deep learning and updated algorithms to enhance face analysis, detects people and crowds wearing masks, ensures high accuracy and is spoof proof. The system can be used for access control management, as well. Mask policy guidelines will be reminded on digital screens.
Combined with fever detection cameras, Sightcorp’s biometric facial recognition technology helps companies secure perimeter access through access control kiosks and gate controls.