An apparatus comprises a camera and one or more sensors. The camera generally has a low power deactivated mode. The one or more sensors are generally remotely located with respect to the camera. The one or more sensors may be configured to communicate a signal to the camera in response to a trigger condition. The camera is generally configured to activate in response to receiving the signal from the one or more sensors.

This patent provides a method and apparatus for acquiring imagery with improve spatial resolution through an apparatus called a “light painting imaging device”. Other aspects of this invention correct for barrel distortion and pincushion distortion.

Devices, methods, and computer-readable media are disclosed, describing an adaptive, subject-aware approach for image bracket selection and fusion, e.g., to generate high quality images in a wide variety of capturing conditions, including low light conditions. An incoming image stream may be obtained from an image capture device, comprising images captured using differing default exposure values, e.g., according to a predetermined pattern. When a capture request is received, it may be detected whether one or more human or animal subjects are present in the incoming image stream. If a subject is detected, an exposure time of one or more images selected from the incoming image stream may be reduced relative to its default exposure time. Prior to the fusion operation, one of the selected images may be designated a reference image for the fusion operation based, at least in part, on a sharpness score and/or a blink score of the image.

The application provides a monitoring method, electronic device and storage medium. The method includes determining a target area to be monitored from an acquired image of a monitored scene; determining a target capture posture and a target capture focal length according to the target area; and controlling a Pan Tilt Zoom (PTZ) camera to capture according to the target capture posture and the target capture focal length. The application can monitor any object within the monitored scene using the PTZ camera with a good capture effect.

Disclosed are various examples for augmented reality based image protection in enterprise settings. In one example, a managed camera application can generate an artificial reality based camera user interface using image data from a field of view of a camera. An indoor position can be identified using global positioning system (GPS) and indoor positioning data. A sector of the field of view can be identified as a protected image area that depicts a protected or confidential object, and the user interface can be updated to include an AR user interface element that is generated relative to the protected image area that is identified.

The present disclosure provides systems, apparatus, methods, and computer-readable media that support linking paused video recordings captured over a period of time. In a first aspect, a method of image processing may include determining a match between first image data and second image data; presenting an indication to a user of the match; receiving user input responsive to the indication; and based on determining the match and the user input indicating to combine the first image data and the second image data, determining output image data comprising at least some of the first image data and at least some of the second image data. Other aspects and features are also claimed and described.

Provided is a monitoring system including an image obtaining apparatus and an image processing apparatus. The image obtaining apparatus includes: a camera; a beacon sensor; a processor configured to match beacon information obtained by detecting, by the beacon sensor, a beacon attached to an object existing in a monitoring region, to an image of the monitoring region captured by the camera; and a memory storing the image matched with the beacon information.

Provided is an infrastructure and a vehicle for communicating with the same. The infrastructure recognizes a first area and a second area, and when a proportion of the second area of the image information is greater than or equal to a reference proportion, controls first and second adjusters to change a photographing area of a camera. The vehicle recognizes a hidden area, when a proportion of the hidden area is greater than or equal to a reference proportion, transmits an adjustment command of the first camera to the infrastructure, and when the proportion of the hidden area is less than the reference proportion. The vehicle matches an image of the hidden area to second image information of the second camera to generate a top view image.

Provided is an infrastructure and a vehicle for communicating with the same. The infrastructure recognizes a first area and a second area, and when a proportion of the second area of the image information is greater than or equal to a reference proportion, controls first and second adjusters to change a photographing area of a camera. The vehicle recognizes a hidden area, when a proportion of the hidden area is greater than or equal to a reference proportion, transmits an adjustment command of the first camera to the infrastructure, and when the proportion of the hidden area is less than the reference proportion. The vehicle matches an image of the hidden area to second image information of the second camera to generate a top view image.

Disclosed are systems and techniques for identifying product identifiers in images. A technique can include receiving, by an edge computing device, x and y coordinates for a location of an out of stock shelf section, determining a frame of reference (FOR) based on the coordinates, the FOR including a location of a product identifier for the out of stock shelf section, determining incremental adjustments to a camera based on the FOR, instructing the camera to adjust by the incremental adjustments and capture an image of the location of the product identifier, performing image analysis on the image to identify the product identifier, determining second incremental adjustments to the camera to focus the camera on the location of the product identifier if the product identifier is not identifiable in the image, and instructing the camera to reset to original camera settings if the product identifier is identifiable in the image.