Real-time COVID-19 outbreak identification with non-invasive, internal imaging for dual biometric authentication and biometric health monitoring
Inventors
Adams, JR., Robert M. • Schnitzer, Mark • Adams, Amanda
Assignees
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Publication Number
US-10880303-B2
Publication Date
2020-12-29
Expiration Date
Abstract
Biometric health monitoring of a specific user or population is performed during biometric authentication for granting access to physical or digital assets. If biometric authentication, biometric verification and biometric health monitoring is acceptable, access to the physical or digital assets is allowed. Likewise, if a health anomaly is detected in a specific user or if an outbreak is detected in a specific community, an electronic notification can be sent to the individual, a health administrator, or to a government official, and access may be denied to the specific user.
Core Innovation
The invention relates to monitoring physical health while granting access to a specific user during biometric authentication over a data communication network. Access is granted using biometric authentication enhanced with non-invasive internal scanning of the body for characteristics unique to the specific user, responsive to an access request.
An external light transducer device or ultrasound device coupled to an image sensor scans internal biometric characteristics of one or more living body parts. The scanning generates an anatomical multi-dimensional image internally unique to the specific user and generates a biometric health profile encoding internal biometric characteristics associated with the heart, flesh and blood.
The method compares the anatomical multi-dimensional image to previously stored anatomical multi-dimensional images of a plurality of users to determine any match, and compares the biometric health profile to a healthy baseline to determine any health anomaly. The method determines a COVID-19 infection from internal biometric characteristics associated with COVID-19 markers, including at least a reduced hemoglobin level due to lower oxygen levels and an alteration in blood vessel morphology, and grants access responsive to matching the anatomical multi-dimensional image and not identifying any health anomaly.
The method further counts a number of suspected COVID-19 infections and electronically notifies authorities responsive to the counting reaching a predetermined threshold over a window. The system architecture supports locking mechanisms to receive an access request and a processor to compare the anatomical image and health profile, open the locking mechanism to grant access, count suspected infections, and electronically notify authorities when the threshold condition is satisfied.
Claims Coverage
The document includes two independent claims, a computer-implemented method and a system. The inventive features cover non-invasive internal scanning for user-specific authentication, generation and comparison of an anatomical multi-dimensional image and a biometric health profile against stored images and a healthy baseline, COVID-19 infection determination from internal biometric characteristics, access granting conditioned on matching and absence of health anomaly, and threshold-based notification to authorities.
Non-invasive internal scanning during biometric authentication
Receives an access request from a specific user and grants access using biometric authentication enhanced with non-invasive internal scanning of the body for characteristics unique to the specific user, using an external light transducer or ultrasound device coupled to an image sensor to scan internal biometric characteristics.
Anatomical multi-dimensional image for user matching
Generates an anatomical multi-dimensional image internally unique to the specific user and compares the anatomical multi-dimensional image to previously stored anatomical multi-dimensional images of a plurality of users to determine any match.
Biometric health profile against healthy baseline for COVID-19 markers
Generates a biometric health profile encoding internal biometric characteristics associated with the heart, flesh and blood, compares the generated biometric health profile to a healthy baseline to determine any health anomaly, and determines a COVID-19 infection from internal biometric characteristics associated with COVID-19 markers including at least a reduced hemoglobin level due to lower oxygen levels and an alteration in blood vessel morphology.
Conditional access granting based on match and absence of health anomaly
Grants access responsive to matching the anatomical multi-dimensional image and not identifying any health anomaly.
Counting suspected infections and threshold-based notification to authorities
Counts a number of suspected COVID-19 infections and, responsive to the counting reaching a predetermined threshold over a window, electronically notifies authorities of a suspected outbreak of COVID-19 infection.
The core coverage is the combination of non-invasive internal scanning with biometric authentication, anatomical matching and biometric health anomaly detection against a healthy baseline, access conditioned on successful matching and absence of health anomaly, and electronic notification to authorities when threshold-based suspected-infection counting reaches a predetermined level.
Stated Advantages
Enables granting access while monitoring physical health during biometric authentication over a data communication network.
Detects a health anomaly including COVID-19 infection from internal biometric characteristics associated with COVID-19 markers.
Allows or denies access responsive to matching an anatomical multi-dimensional image and not identifying any health anomaly.
Supports notifying authorities of a suspected outbreak of COVID-19 infection based on a count reaching a predetermined threshold over a window.
Documented Applications
Real-time authentications in contexts including airports/TSA security checkpoints, smartphone-based authentication, and medical visit authentication.
Access for door/gate access and ATM/financial account server contexts.
Notifications to individuals, health administrators, and government officials upon detection/counting of suspected COVID-19 infections and suspected outbreak conditions.
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