A particle detection method detects presence and location of particles on a target using measured signals from a plurality of structured illumination patterns. The particle detection method uses measured signals obtained by illuminating the target with structured illumination patterns to detect particles. Specifically, the degree of variation in these measured signals in raw images is calculated to determine whether a particle is present on the target at a particular area of interest.

A feature surface projection system includes a projector, a camera, and a controller. The projector projects a structured light and an image beam to a feature surface at different times. The structured light forms a structured light pattern on the feature surface, and the image beam forms an image on the feature surface. The camera photographs the structured light pattern and the image at different times. The controller is electrically connected to the projector and the camera, calculates a position of a feature point of the feature surface, and determines a difference between a position of a feature point of the image and the position of the feature point of the feature surface to determine whether to adjust the image beam. A projection method for a feature surface is also provided. The feature surface projection system provides an automatic alignment function between a projected content and the feature surface.

A feature surface projection system includes a projector, a camera, and a controller. The projector projects a structured light and an image beam to a feature surface at different times. The structured light forms a structured light pattern on the feature surface, and the image beam forms an image on the feature surface. The camera photographs the structured light pattern and the image at different times. The controller is electrically connected to the projector and the camera, calculates a position of a feature point of the feature surface, and determines a difference between a position of a feature point of the image and the position of the feature point of the feature surface to determine whether to adjust the image beam. A projection method for a feature surface is also provided. The feature surface projection system provides an automatic alignment function between a projected content and the feature surface.

Various embodiments of the disclosure relate to devices and methods for user authentication on an electronic device. The electronic device comprises a plurality of lighting devices, a camera, a display, and a processor. The processor is configured to display an object on the display, obtain, through the camera, a plurality of images based on an image obtaining pattern randomly generated, obtain biometric information using at least one of the plurality of images, obtain information about a variation in a user's gaze corresponding to a movement of the object displayed on the display using the plurality of images, and perform authentication on the user based on the biometric information and the user gaze variation information. Other embodiments are available as well.

Hand biometric systems and methods use digital fingerprints generated from images of at least a portion of hand. These systems and methods may perform various digital fingerprint related processes including induction (acquiring of the hand biometric data, generation of a digital fingerprint and storing in a database) and authentication (a process of using the digital fingerprint of the hand to perform biometrics which are known processes that may be performed using digital fingerprints, and may even be control anonymous access to controlled areas or vehicle. The hand biometric system and method combines these processes with a particular set of hardware to perform the hand biometrics process that is novel and provides benefits and capabilities not achievable by other existing biometric systems and methods.

A method for determining a disease state prediction, relating to a potential disease or medical condition of a subject, includes accessing a set of subject images, the subject images capturing a part of a subject's body, and accessing a set of clinical factors from the subject. The clinical factors are collected by a device or a medical practitioner substantially contemporaneously with the capture of the subject images. The subject images are inputted into an image data model to generate disease metrics for disease prediction for the subject. The disease metrics generated by the image data model and the clinical factors are inputted into a classifier to determine the disease state prediction, and the disease state prediction is returned.

A method of thermographic inspection is disclosed, including applying a thermal pulse to a surface and capturing an image of a thermal response of the surface. The image is captured with an infrared camera through a polarizer having a first orientation. The method further includes determining, by analysis of the image, whether the thermal response is indicative of a crack on the surface.

A system (100) for assisting a user in a process is disclosed. The process comprises a plurality of process phases. The system (100) comprises: a lighting unit (120) configured to emit light comprising an embedded code (130), the embedded code 130 being representative of a process phase of the process, and a tool (102) comprising: a user input element 108 configured to receive a user input to activate the tool (102), a light detector (104) configured to detect the light emitted by the lighting unit (120), and a processor (106) configured to extract the embedded code (130) from the detected light, to determine a tool setting for the tool (102) based on the embedded code (130), to configure the tool (102) based on the tool setting such that when the user input is received, the tool (102) is controlled in accordance with the tool setting.

A system (100) for assisting a user in a process is disclosed. The process comprises a plurality of process phases. The system (100) comprises: a lighting unit (120) configured to emit light comprising an embedded code (130), the embedded code 130 being representative of a process phase of the process, and a tool (102) comprising: a user input element 108 configured to receive a user input to activate the tool (102), a light detector (104) configured to detect the light emitted by the lighting unit (120), and a processor (106) configured to extract the embedded code (130) from the detected light, to determine a tool setting for the tool (102) based on the embedded code (130), to configure the tool (102) based on the tool setting such that when the user input is received, the tool (102) is controlled in accordance with the tool setting.

A public area defense system, comprising a non-lethal reactive deterrence defense subsystem, an optical subsystem operably coupled to and in communication with the non-lethal reactive deterrence defense subsystem, and an acoustic subsystem operably coupled to and in communication with the non-lethal reactive deterrence defense subsystem. The public area defense system may further comprise a computer system in communication with each of the non-lethal reactive deterrence defense subsystem, the optical subsystem, and the acoustic subsystem, wherein each of the non-lethal reactive deterrence defense subsystem, the optical subsystem, and the acoustic subsystem are operable to interact with an actor