Systems and methods for intelligently and accurately triaging a patient are provided. The systems and methods access an electronic health record of the patient based on a detection of an event, such as entering an emergency department. Additionally, the systems and methods collect triage vitals of the patient. Further, free-text within the electronic health record is mapped and binned. In response to the mapping and the binning, the systems and methods input features into an acuity level predictor. Based on inputting the features into the acuity level predictor, the systems and methods output an acuity level of the patient for triaging the patient.

Systems and methods for intelligently and accurately triaging a patient are provided. The systems and methods access an electronic health record of the patient based on a detection of an event, such as entering an emergency department. Additionally, the systems and methods collect triage vitals of the patient. Further, free-text within the electronic health record is mapped and binned. In response to the mapping and the binning, the systems and methods input features into an acuity level predictor. Based on inputting the features into the acuity level predictor, the systems and methods output an acuity level of the patient for triaging the patient.

A person authentication system is provided. The person authentication system includes one or more image capture devices. The person authentication system includes a computing system. The computing system includes one or more computing devices. The computing system is configured to obtain data indicative of a unique identifier associated with an earpiece worn by a person. The computing system is configured to obtain image data of an ear of the person via the one or more image capture devices. The computing system is configured to authenticate an identity of the person based, at least in part, on the image data and the data indicative of the unique identifier.

Cannabis, much like medications, requires secure containment. It is particularly important to prevent access to Cannabis to children, elderly, or others for whom the Cannabis is not prescribed, designated, or legally permitted. Provided herein are medication tracking and securement devices, systems, platforms, and methods configured to be used with or in place of commercial standard medicine bottles. The wireless tracking and communications elements of the present disclosure are configured to prevent medication theft, overdosing, medication loss, and prescription noncompliance.

Aspects of the invention provide, in some aspects, a method of face recognition that includes receiving plural frames of a video stream imaging a candidate individual, e.g., in the field of view of a camera, and generating for each of those frames a score of the image and/or of the candidate therein. This can include, for example, a score (or count) indicative of the number of individuals present in the frame, a pose of the candidate individual (e.g., face-on or otherwise), blur in the image, and so forth. The method further includes selecting, based on the respective scores of the frames, a subset of the frames for matching by a face recognizer against a set of one or more images of designated individuals. That set may be of individuals approved for access, individuals to be prevented for access, or otherwise. An output is generated, according to the method, based on such matching by the face recognizer.

The invention relates to an indication system for generating an indication. The system comprises: at least one indication device, at least one detection device configured to monitor at least one area inside a building to provide monitoring data, and a control unit. The control unit is configured to: detect based on the monitoring data obtained from the at least one detection device at least one predefined object with a specific need, and control the at least one indication device to generate a visual indication comprising guidance information to a gate device allocated for the detected at least one predefined object in response to the detection of the at least one predefined object. The invention relates also to a method for generating an indication.

There is provided a method including instructing a notification apparatus to issue a notification in a case where a video image capturing an entrance of a specific location includes an unregistered person moving toward the specific location, and deactivating the notification by the notification apparatus in a case where a video image capturing the specific location includes a pre-registered person.

There is provided a method including instructing a notification apparatus to issue a notification in a case where a video image capturing an entrance of a specific location includes an unregistered person moving toward the specific location, and deactivating the notification by the notification apparatus in a case where a video image capturing the specific location includes a pre-registered person.

A method of adaptively updating an enrollment database is disclosed. The method may include extracting a first feature vector from an input image, the input image including a face of a user, determining whether to enroll the input image in the enrollment database based on the first feature vector, second feature vectors of enrollment images and a representative vector, the second feature vectors of the enrollment images being enrolled in the enrollment database, and the representative vector representing the second feature vectors, and enrolling the input image in the enrollment database based on a result of the determining.

A method of adaptively updating an enrollment database is disclosed. The method may include extracting a first feature vector from an input image, the input image including a face of a user, determining whether to enroll the input image in the enrollment database based on the first feature vector, second feature vectors of enrollment images and a representative vector, the second feature vectors of the enrollment images being enrolled in the enrollment database, and the representative vector representing the second feature vectors, and enrolling the input image in the enrollment database based on a result of the determining.