Abstract: Systems and methods are provided for implementing automated user interface testing with integrated machine learning models. Systems and methods for detecting and preemptively correcting flow path errors are disclosed. Systems and methods for minimizing user input and optimizing testing efficiency are disclosed. A result dashboard is disclosed in which testing results and errors are displayed and a user may interact with interactive testing reports.

Abstract: Providing template-based configuration for backup and restore applications in public clouds is described. A system identifies a deployment of an instance of a backup and restore application in a public cloud, and retrieves a configuration template, generated for the backup and restore application, from within the public cloud. The system retrieves restricted access data, which is excluded from the configuration template, from a secret manager service provided by a cloud provider associated with the public cloud. The system configures the instance of the backup and restore application based on the configuration template, generated for the backup and restore application, and the restricted access data, thereby initiating execution of the configured instance of the backup and restore application to back up a workload.

Abstract: Providing high availability for backup and restore applications in public clouds is described. A system creates a first virtual machine and a second virtual machine for at least one zone of a public cloud. The system creates a disk in the public cloud, and enables a selection to attach the disk as a shared disk to the first virtual machine and/or the second virtual machine; The system creates object storage that stores backup data for the first virtual machine and/or the second virtual machine. The system deploys the first virtual machine as an active node that executes a backup and restore application and the second virtual machine as a passive node that executes the backup and restore application when the active node fails to execute the backup and restore application.

Abstract: Providing high availability for backup and restore applications in public clouds is described. A system creates a first virtual machine and a second virtual machine for at least one zone of a public cloud. The system creates a disk in the public cloud, and enables a selection to attach the disk as a shared disk to the first virtual machine and/or the second virtual machine; The system creates object storage that stores backup data for the first virtual machine and/or the second virtual machine. The system deploys the first virtual machine as an active node that executes a backup and restore application and the second virtual machine as a passive node that executes the backup and restore application when the active node fails to execute the backup and restore application.

Abstract: A system and a method include a monitoring control unit configured to compare an initial flight plan, as generated by a flight planner for an aircraft, and an assessed flight plan, as determined by air traffic control. The monitoring control unit is further configured to determine one or more alternate initial flight plans that differ from the initial flight plan in response to determining one or more differences between the initial flight plan and the assessed flight plan.

Abstract: Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Abstract: An electronic device for analyzing a skin of a subject and identifying a cosmetic product for the subject includes one or more processors and memory storing one or more programs for execution by the one or more processors. The device transfers a digital image of at least a portion of a face of the subject. The digital image includes a plurality of pixels. Skin pixels in the plurality of pixels are identified. Color space values are identified from the skin pixels. A cosmetic product is identified at least based on the color space values. The device transfers information of the cosmetic product.

Abstract: Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Abstract: Systems and methods are provided for analyzing conditions associated with a physical feature using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying feature pixels in the white-light and UV images, and obtaining results associated with at least one physical condition using information in the feature pixels in the first white light and UV images.

Abstract: An electronic device for analyzing a skin of a subject and identifying a cosmetic product for the subject includes one or more processors and memory storing one or more programs for execution by the one or more processors. The device transfers a digital image of at least a portion of a face of the subject. The digital image includes a plurality of pixels. Skin pixels in the plurality of pixels are identified. Color space values are identified from the skin pixels. A cosmetic product is identified at least based on the color space values. The device transfers information of the cosmetic product.

Abstract: A method for imaging skin includes illuminating a subject with at least one light source of one or more light sources. The method includes acquiring a first image of the subject in a first polarization with a respective photodetector of one or more photodetectors configured to acquire images of the subject as illuminated by the at least one light source, and acquiring a second image of the subject in a second polarization with the respective photodetector. The method also includes generating a subtraction image by subtracting at least a portion of the first image from a corresponding portion of the second image, and providing at least a portion of the subtraction image for display.

Abstract: A method for determining a surface profile of subject's skin includes illuminating the subject with light from a plurality of light sources. The plurality of light sources having distinct colors is configured to illuminate the subject from distinct locations. A multi-color image of the subject is obtained. The multi-color image includes respective values corresponding to respective intensities of light of respective colors for each region of the subject. A surface profile of the subject is determined in accordance with the respective values corresponding to the respective intensities of light of the respective colors.

Abstract: Systems and methods are provided for automatic identification of a person based on an analysis of the person's skin. In one embodiment, a method for automatically identifying a person comprises acquiring white-light and UV images of a portion of the person's skin, generating a skin mask from the white-light image, and comparing the skin mask with a pre-stored skin mask of the person. If a substantial match is not found between the two skin masks, the person is not identified, and an error message such as “wrong person” or “person unknown” is returned. Otherwise, the method proceeds to obtain results associated with certain skin conditions using at least the UV image. The results are compared with pre-stored results to determine if the person is the right person or the wrong person.

Abstract: A method for determining a surface profile of subject's skin includes illuminating the subject with light from a plurality of light sources. The plurality of light sources having distinct colors is configured to illuminate the subject from distinct locations. A multi-color image of the subject is obtained. The multi-color image includes respective values corresponding to respective intensities of light of respective colors for each region of the subject. A surface profile of the subject is determined in accordance with the respective values corresponding to the respective intensities of light of the respective colors.

Abstract: An imaging system for imaging skin includes a light source to illuminate a subject and a first polarizer to polarize light provided by the light source to illuminate the subject. The imaging system also includes a photodetector to acquire an image of the subject as illuminated by the light source and an adjustable second polarizer, coupled to the photodetector, to provide an adjustable degree of polarization of light received by the photodetector.

Abstract: Systems and methods are provided for automatic identification of a person based on an analysis of the person's skin. In one embodiment, a method for automatically identifying a person comprises acquiring white-light and UV images of a portion of the person's skin, generating a skin mask from the white-light image, and comparing the skin mask with a pre-stored skin mask of the person. If a substantial match is not found between the two skin masks, the person is not identified, and an error message such as “wrong person” or “person unknown” is returned. Otherwise, the method proceeds to obtain results associated with certain skin conditions using at least the UV image. The results are compared with pre-stored results to determine if the person is the right person or the wrong person.

Abstract: Systems and methods are provided for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (“UV”) image of at least a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

Abstract: The embodiments of the present invention include a method and system for analyzing skin conditions using digital images. The method comprises acquiring a white-light image and an ultraviolet (UV) image of a portion of a body surface, such as a person's face, each of the white-light and UV images including a plurality of pixels and each pixel in the UV image corresponding to a respective pixel in the white-light image. The method further comprises identifying skin-pixels in the white-light and UV images, and obtaining results associated with at least one skin condition using information in the skin pixels in the first white light and UV images.

Abstract: Systems and methods are provided for automatic identification of a person based on an analysis of the person's skin. In one embodiment, a method for automatically identifying a person comprises acquiring white-light and UV images of a portion of the person's skin, generating a skin mask from the white-light image, and comparing the skin mask with a pre-stored skin mask of the person. If a substantial match is not found between the two skin masks, the person is not identified, and an error message such as “wrong person” or “person unknown” is returned. Otherwise, the method proceeds to obtain results associated with certain skin conditions using at least the UV image. The results are compared with pre-stored results to determine if the person is the right person or the wrong person.

Abstract: A method for imaging skin includes illuminating a subject with at least one light source of one or more light sources. The method includes acquiring a first image of the subject in a first polarization with a respective photodetector of one or more photodetectors configured to acquire images of the subject as illuminated by the at least one light source, and acquiring a second image of the subject in a second polarization with the respective photodetector. The method also includes generating a subtraction image by subtracting at least a portion of the first image from a corresponding portion of the second image, and providing at least a portion of the subtraction image for display.