SAFR Operator Mode
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Description
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Recognition
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This is the default mode typically used for set-up, validation, and experimentation.
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Only reports enrolled individuals.
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No events are generated or recorded.
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Available for Windows, macOS, Linux, Android, and iOS.
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Import
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Any face that can be clearly seen but is unidentified will be automatically registered.
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Faces that are already registered are only recognized and do not create additional entries in the Person Directory.
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Additional different face images (e.g. from different expressions) may be added to the existing faces in the Person Directory if they improve the recognition of the person.
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No events are recorded.
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Available for Windows, macOS, Linux, and iOS.
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Learn and Monitor
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Monitors all person events within view. If a person is not registered in the system, they are added as long as the image meets the specified image quality metric criteria.
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Allows for automatic saving of recognized persons to the server.
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Available for Windows, Linux, and Android.
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Similar
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Registered faces that are the most similar to the face observed in the video are shown in real time in the Camera Feed Analyzer window.
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Each similar face displays a % match. Anything less than 100% match is not a certain match.
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No event information or images are recorded.
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Available for macOS, Linux, Android, and iOS.
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Secure Access
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Secure access uses strict criteria for confirming the identity of the face in the view of the camera.
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Records events and images for recognized faces.
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Listens for event replies and displays them on the screen.
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Typically used for door access control.
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Events and images are not recorded for unrecognized faces.
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Available for Windows, macOS, Linux, Android, and iOS.
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Secure Access with RGB Liveness
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Secure access with RGB Liveness uses strict criteria for confirming the identity of the face in the view of the camera.
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Records events and images for recognized individuals.
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Listens for event replies and displays them on the screen.
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Typically used for door access control where you want to use RGB liveness detection to guard against face spoofing.
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See Liveness Detection for information about RGB liveness detection.
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Available on Android, Windows machines containing an NVidia card that provides GPU, and Linux machines containing an NVidia card that provides GPU.
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Secure Access with Smile
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Uses strict criteria for confirming the identity of the face in the view of the camera. It also looks for transitions in the facial expression (i.e. smile authorization).
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Records events and images for recognized individuals.
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Listens for event replies and displays them on the screen.
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Typically used for door access control where it is necessary to guard against identity impersonation via photo.
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Includes all functionality of Secure Access mode and can be used to allow access on first sight recognition for a certain time (e.g. when security staff are on duty) and can change to a higher degree of security (e.g. recognition with smile expression change) at set times (e.g. when security staff is off duty).
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Events and images are not recorded for unrecognized faces.
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Available for Windows, macOS, Linux, Android, and iOS.
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Secure Access with Smile and RGB Liveness
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Uses strict criteria for confirming the identity of the face in the view of the camera. It also looks for transitions in the facial expression.
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Records events and images for recognized individuals.
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Listens for event replies and displays them on the screen.
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Typically used for door access control where it is necessary to guard against identity impersonation via photo and where you want to use RGB liveness detection to guard against face spoofing.
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See Liveness Detection for information about RGB liveness detection.
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Available on Android, Windows machines containing an NVidia card that provides GPU, and Linux machines containing an NVidia card that provides GPU.
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Secure Access with Profile Pose
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Secure access with Profile Pose uses strict criteria for confirming the identity of the face in the view of the camera.
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Records events and images for recognized individuals.
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Listens for event replies and displays them on the screen.
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Typically used for door access control where you want to use pose liveness detection to guard against face spoofing.
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See Liveness Detection for information about pose liveness detection.
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Available for Windows, macOS, Linux, and iOS.
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Registration Kiosk
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Allows self-registration into the SAFR system.
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Optimized to work from a tablet.
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Can be customized in the User Interface preferences tab to display different prompts, gather additional information, or restrict registration with a minimum age.
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Records registration and appearance events and associated images of registered persons.
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Events and images are not recorded for unrecognized faces unless they initiate the registration process.
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Available for macOS, Android, and iOS.
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Enrolled Monitoring
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Facial recognition, events, and images are only recorded for registered/recognized faces.
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Images and events are not recorded for unrecognized faces.
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Available for Windows, macOS, Linux, and iOS.
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Anonymous Traffic Monitoring
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When gender and/or age detection is enabled, this metadata is recorded anonymously for faces viewed by cameras.
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Images and biometric information are not recorded.
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Available for Windows, macOS, Linux, and iOS.
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Enrolled and Anonymous Traffic Monitoring
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Recognition events are recorded for registered individuals.
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When gender and/or age detection is enabled, this metadata is recorded anonymously for faces viewed by cameras.
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No images are recorded for recognized or unrecognized faces.
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Available for Windows, macOS, Linux, and iOS.
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Enrolled and Unique Traffic Monitoring
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Events are recorded for registered and unknown individuals.
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Any faces that can be clearly seen but are currently unknown are automatically registered.
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Faces that can't be seen clearly enough to attempt recognition are reported as unrecognizable.
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Age information is automatically recorded for all clearly seen faces.
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Images are recorded for all faces.
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Available for Windows, macOS, Linux, and iOS.
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Enrolled and Stranger Monitoring
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Events are recorded for registered and unknown individuals.
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Faces that are clearly seen but aren't currently registered are reported as strangers.
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Faces that can't be seen clearly enough to attempt recognition are reported as unrecognizable.
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Images are recorded for all faces.
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Available for Windows, macOS, Linux, Android, and iOS.
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