G06V10/147

METHOD FOR NON-CONTACT TRIGGERING OF BUTTONS

Disclosed are techniques for elevator control. In an aspect, a sensor senses time series data, wherein the time series data includes at least one image, and range of the image covers a plurality of buttons. A system module configured to determine whether the image contains a target object; determine a tip coordinate of a tip of the target object when the image contains the target object, wherein the tip refers to a point of the target object with the closest distance to the operation panel; and determine button information corresponding to the tip coordinate among a plurality of button information, and transmit a control signal at least according to the button information, wherein the plurality of button information is associated with the plurality of buttons. A controller receives the control signal and perform control operation according to the control signal.

METHOD FOR NON-CONTACT TRIGGERING OF BUTTONS

Disclosed are techniques for elevator control. In an aspect, a sensor senses time series data, wherein the time series data includes at least one image, and range of the image covers a plurality of buttons. A system module configured to determine whether the image contains a target object; determine a tip coordinate of a tip of the target object when the image contains the target object, wherein the tip refers to a point of the target object with the closest distance to the operation panel; and determine button information corresponding to the tip coordinate among a plurality of button information, and transmit a control signal at least according to the button information, wherein the plurality of button information is associated with the plurality of buttons. A controller receives the control signal and perform control operation according to the control signal.

Monitoring device and method for monitoring a man-overboard in a ship section

The invention relates to a monitoring device 1 for monitoring a man-overboard situation in a ship section 4, wherein the ship section 4 is monitored by video technology using at least one camera 5a,5b and the camera 5a,5b is designed to provide surveillance in the form of video data. The monitoring device comprises an evaluation device 7, said evaluation device 7 having an interface for receiving the video data, wherein the evaluation device 7 is designed to detect a moving object in the ship section 4 on the basis of the video data and to determine a kinematic variable of the moving object. The evaluation device 7 is designed to determine a starting point in three dimensions on the basis of the video data and the kinematic variable of the moving object and to evaluate the moving object as a man-overboard event on the basis of the starting point.

Monitoring device and method for monitoring a man-overboard in a ship section

The invention relates to a monitoring device 1 for monitoring a man-overboard situation in a ship section 4, wherein the ship section 4 is monitored by video technology using at least one camera 5a,5b and the camera 5a,5b is designed to provide surveillance in the form of video data. The monitoring device comprises an evaluation device 7, said evaluation device 7 having an interface for receiving the video data, wherein the evaluation device 7 is designed to detect a moving object in the ship section 4 on the basis of the video data and to determine a kinematic variable of the moving object. The evaluation device 7 is designed to determine a starting point in three dimensions on the basis of the video data and the kinematic variable of the moving object and to evaluate the moving object as a man-overboard event on the basis of the starting point.

OPTOELECTRONIC DEVICE

This disclosure relates to a time-of-flight sensor including, on a same base substrate, a light emitter configured to emit light into an image scene, a reference sensor configured to detect light emitted by the light emitter, and a signal reception sensor array separated from the light emitter by an optical barrier. The optical barrier is configured to prevent light emitted by the light emitter from directly reaching the signal reception sensor array, with the signal reception sensor array being configured to detect light reflected by the image scene. The reference sensor and the signal reception sensor array are based on semiconductor nanoparticles.

MULTI-CAMERA BIOMETRIC IMAGING SYSTEM
20230377370 · 2023-11-23 · ·

Methods and apparatus for biometric authentication in which two or more cameras are used to capture images of biometric features or aspects for analysis to identify and authenticate a person. An imaging system includes at least two cameras that are used to capture images of a person's iris, eye, periorbital region, and/or other regions of the person's face, and one or more features from the captured images are analyzed to identify and authenticate the person or to detect attempts to spoof the biometric authentication. Information from two or more images may be combined to process aspects and features extracted from the combined images. Alternatively, one of the images to be used for biometric authentication may be determined, for example using one or more objective criteria to evaluate the quality of the captured images.

MULTI-CAMERA BIOMETRIC IMAGING SYSTEM
20230377370 · 2023-11-23 · ·

Methods and apparatus for biometric authentication in which two or more cameras are used to capture images of biometric features or aspects for analysis to identify and authenticate a person. An imaging system includes at least two cameras that are used to capture images of a person's iris, eye, periorbital region, and/or other regions of the person's face, and one or more features from the captured images are analyzed to identify and authenticate the person or to detect attempts to spoof the biometric authentication. Information from two or more images may be combined to process aspects and features extracted from the combined images. Alternatively, one of the images to be used for biometric authentication may be determined, for example using one or more objective criteria to evaluate the quality of the captured images.

Display device

A display device is provided. The display device includes a backlight module with a reverse prism structure disposed on top, and a display module disposed above the backlight module. The display module includes a display panel and a sensor component. The sensor component is embedded in the display panel. The sensor component includes a plurality of sensors. A plurality of diffraction gratings are disposed on surfaces of the plurality of sensors. A grating direction of the plurality of diffraction gratings is perpendicular to a grating direction of the reverse prism structure.

Apparatus and methods for determining multi-subject performance metrics in a three-dimensional space

Apparatus and methods for extraction and calculation of multi-person performance metrics in a three-dimensional space. An example apparatus includes a detector to identify a first subject in a first image captured by a first image capture device based on a first set of two-dimensional kinematic keypoints in the first image, the two-dimensional kinematic keypoints corresponding to a joint of the first subject, the first image capture device associated with a first view of the first subject, a multi-view associator to verify the first subject using the first image and a second image captured by a second image capture device, the second image capture device associated with a second view of the first subject, the second view different than the first view, and a keypoint generator to generate three-dimensional keypoints for the first subject using the first set of two-dimensional kinematic keypoints.

Apparatus and methods for determining multi-subject performance metrics in a three-dimensional space

Apparatus and methods for extraction and calculation of multi-person performance metrics in a three-dimensional space. An example apparatus includes a detector to identify a first subject in a first image captured by a first image capture device based on a first set of two-dimensional kinematic keypoints in the first image, the two-dimensional kinematic keypoints corresponding to a joint of the first subject, the first image capture device associated with a first view of the first subject, a multi-view associator to verify the first subject using the first image and a second image captured by a second image capture device, the second image capture device associated with a second view of the first subject, the second view different than the first view, and a keypoint generator to generate three-dimensional keypoints for the first subject using the first set of two-dimensional kinematic keypoints.