$GTCH has been able to overcome the mask-wearing d
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Posted On: 02/22/2021 7:05:28 AM
$GTCH has been able to overcome the mask-wearing difficulty associated with face biometrics.
The company filed a patent for a computer and mobile-based AI facial recognition system with computer vision algorithms that can learn users’ features, such as facial and body changes, with or without masks or clothing, via one-time user enrollment. The system could be used in smartphones’ biometric password features, to measure aspects of health, or for security and law enforcement in identifying persons of interest in airports with or without face masks in real-time.
Leveraging AI, the algorithm can learn users’ skull size, skeleton shape, body size, eye distance, and bone structure. The system may also include a mobile application software and server backend programs.
A passcode can still be used on the phone or computer if preferred, according to the patent application.
“The security of our electronic devices has become a major challenge in the past decade as we witness a significant increase in cybercrimes. As we are working on our health monitoring hardware and software technology, we aim to provide the highest level of data security and privacy for our users,” stated Danny Rittman, GBT’s CTO.
“We measure facial and bodily points distances and transform them into a 3D point figure using internal calibration algorithms…We plan to evaluate further applications for this type of technology like health watcher system, fitness monitoring, airport security and law enforcement,” Rittman added.
The company notes that implementing the biometric technology will require further research and development and a manufacturing partnership, among other steps.
The company filed a patent for a computer and mobile-based AI facial recognition system with computer vision algorithms that can learn users’ features, such as facial and body changes, with or without masks or clothing, via one-time user enrollment. The system could be used in smartphones’ biometric password features, to measure aspects of health, or for security and law enforcement in identifying persons of interest in airports with or without face masks in real-time.
Leveraging AI, the algorithm can learn users’ skull size, skeleton shape, body size, eye distance, and bone structure. The system may also include a mobile application software and server backend programs.
A passcode can still be used on the phone or computer if preferred, according to the patent application.
“The security of our electronic devices has become a major challenge in the past decade as we witness a significant increase in cybercrimes. As we are working on our health monitoring hardware and software technology, we aim to provide the highest level of data security and privacy for our users,” stated Danny Rittman, GBT’s CTO.
“We measure facial and bodily points distances and transform them into a 3D point figure using internal calibration algorithms…We plan to evaluate further applications for this type of technology like health watcher system, fitness monitoring, airport security and law enforcement,” Rittman added.
The company notes that implementing the biometric technology will require further research and development and a manufacturing partnership, among other steps.
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