14 results about "Device Camera" patented technology

A system of camera privacy for telemedicine includes a computing device, a camera comprising a lens, and a cover extending over at least the lens. The cover is communicatively connected to the computing device, and the cover is configurable to be in a first state or a second state. The first state configures the cover to block a field of view of the lens to prevent the camera from capturing visual information from a far side of the cover. The computing device is configured to identify a first condition. In response to identifying the first condition, the computing device transmits a signal to the cover that configures the cover to be in the second state.

This application relates to the field of camera manufacturing technology and discloses a camera assembly device. The camera assembly device includes a positioning tray and a transfer device. The positioning tray includes a tray body and a positioning component. The tray body is provided with multiple receiving slots, each with an opening in a second direction. The multiple receiving slots are respectively used to receive multiple lens groups of a camera. The positioning component is used to adjust the optical axes of the multiple lens groups to be coaxial. The transfer device includes a base and multiple adsorption structures. The multiple adsorption structures are movable or locked relative to the base along the second direction. The transfer device is used to adsorb the multiple lens groups contained in the multiple receiving slots through the multiple adsorption structures and transfer the multiple lens groups to the multiple lens group mounting positions of the camera. This camera assembly device can assemble multiple lens groups in one go, thus not only simplifying the camera assembly process but also improving its assembly accuracy.

Various implementations include methods for processing images from a device camera to identify potential malicious attacks on the camera. These implementations may include using multiple different trained image processing models or vision pipelines to process images received from the device's camera to obtain multiple different image processing outputs, and performing multiple consistency checks on the multiple different image processing outputs. Such consistency checks compare two or more selected outputs from the multiple different outputs to detect inconsistencies that may be associated with or caused by an attack on the camera. Indications of an attack on the camera may be reported to and considered by the device's autonomous driving system, or otherwise addressed in one or more mitigation actions.

An augmented reality application executing on a client device receives video data captured by a camera of the device, in which the video data includes a display area of the device. The application detects a set of items within the display area based on the video data, wherein the set of items is included among an inventory of a warehouse associated with a retailer, and accesses a set of attributes of each item. The application retrieves profile information including a set of preferences associated with a customer of the retailer, matches one or more of the set of preferences with one or more attributes of each item, and generates an augmented reality element based on the matches. The augmented reality element is then displayed, such that it is overlaid onto a portion of the display area based on a location within the display area at which the items are detected.

This utility model provides a parking lock for a new energy charging pile, including a lock base plate, a control box, an auxiliary warning box, a maintenance plate, a lock limit plate, a drive shaft, a cooling fan, a control host, a device camera, and a drive motor. The lock base plate is connected to the lower inner side of the control box and the auxiliary warning box by horizontal screws; the maintenance plate is snapped onto the side of the auxiliary warning box. This utility model solves the parking space occupancy problem, and with license plate recognition technology, it can automatically distinguish between fuel vehicles and new energy vehicles, allowing new energy vehicles to enter for charging, improving parking space turnover efficiency, and providing management data for charging station operators. It uses solar power, which is energy-saving and environmentally friendly, reducing dependence on external power sources, lowering operating costs and wiring complexity. The inclusion of a device camera, warning lights, and QR code stickers enhances the intelligence of the parking lock and improves user experience, facilitating user operation and management of parking spaces.

A filter media uniform spreading device includes a conveying pipe, a uniform sieve, a spiral spreading rod, a tracked mobile base, a pusher plate, a camera and lighting, and a control box. The tracked mobile base is located at the bottom of the spreading device, and the control box, which houses a battery, is mounted on the base. The camera and lighting are fixed on the top of the control box. A pusher plate is located in front of the tracked mobile base, and a spiral spreading rod is located behind it. The top of the control box, near the spiral spreading rod, is tilted downwards. The uniform sieve is located above the tilted part of the control box, and is tilted as well. The spiral spreading rod is located below the lowest point of the uniform sieve. The conveying pipe is located at the top of the uniform sieve, and its top end is connected to grouting equipment. The camera and lighting, the uniform sieve, the spiral spreading rod, and the battery are connected via wiring. This spreading device can significantly reduce the risks of working in confined spaces, increase construction efficiency, and reduce the number of structural passages and openings required during construction.

Embodiments of the present application provide a kind of camera cooperation method and device across device, it is related to terminal field, can guarantee electronic equipment can call more kinds of camera across device, so that the camera called by electronic equipment is more in line with user demand.Its method is applied to first electronic equipment, first electronic equipment and second electronic equipment are in multi-screen cooperation state, and the method comprises: in response to the operation of user triggering video call, based on the first camera of first electronic equipment, first video data is collected;Second electronic equipment camera information is acquired;Wherein, camera information includes the number of the camera of second electronic equipment, the identification of camera and camera attribute, camera attribute includes orientation attribute, and orientation attribute includes front attribute or rear attribute;According to camera information, the second camera with the mapping relationship of first camera is determined;Based on the second camera of second electronic equipment, second video data is collected.

The utility model relates to underwater robot technical field especially relates to a deep sea diving load micro -observation type submersible, include: casing, the both ends of casing are provided with front -viewing camera and rear -viewing camera respectively, and casing is rotatively connected with front -viewing camera, and the advance and retreat propeller and the submersible float propeller, the advance and retreat propeller and the submersible float propeller all are arranged in the casing, and the advance and retreat propeller drive casing moves in the first direction, and the submersible float propeller drive casing moves in the second direction, and the adapter box and the altimeter, the adapter box and the altimeter all are arranged in the casing, and the adapter box is installed with lithium cell and control panel, the utility model discloses an electronic device and battery are integrated in the adapter box to reduce the occupation of each component to space, and then have space to carry high -definition camera, can be conveniently carried to the manned submersible or heavy -duty operation type submersible, solved the problem that the micro -submersible adopts analog camera in the prior art and the imaging quality is poor.

A device captures, at the time of authentication to a secured session, secondary authentication data of the user that has authenticated using primary authentication credentials. Then, during the session, the system is caused to re-authenticate the user using the secondary authentication credentials (such as original and current user's face images). The system actively monitors the face visible to a camera of the computing device. The system compares the current face to the face image captured at the time of authentication. If the system fails to detect the same face captured initially at the time of authentication, then the system automatedly ends or otherwise locks the session to secure that session from an unauthorized user. Accordingly, the system does not rely merely upon initial authentication for an entire session, but rather reauthenticates the user during a single session in order for the session to be permitted to continue.

A video recording process is commenced by a camera of a device. The video recording process produces a sequence of frames. While the video recording process is in progress, a gesture directed at the device is detected. A new first frame from the sequence of frames is displayed in a camera view user interface (UI) of the device, based on a characteristic of the gesture. A video file is generated using frames captured during the video recording process and the new first frame is set as a starting point of the video file.

A kind of calibration wafer and method for determining metrology positioning deviation, comprising: providing calibration wafer, which is provided with metrology monitor pad capable of being used for optical ellipsometric measurement, the film layer thickness of metrology monitor pad linearly changes in at least one preset direction;Calibration wafer is loaded to wafer bearing component, and linear scanning is carried out to target metrology monitor pad along preset direction using optical ellipsometric measurement equipment, to obtain the fitting regression line of film thickness with the change of scanning position, the theoretical center coordinates of target metrology monitor pad are obtained by fitting regression line;Charge-coupled device camera field of view center is positioned to theoretical center coordinates, and the actual thickness of film at theoretical center coordinates of target metrology monitor pad is obtained, the actual center coordinates corresponding to actual thickness of film are obtained by substituting actual thickness of film into fitting regression line, and the actual center coordinates are obtained based on actual center coordinates and theoretical center coordinates to obtain metrology positioning deviation.The method can significantly improve the calibration accuracy and reliability of optical ellipsometric measurement system.

A computer implemented method includes receiving images from a device camera during a video conference and processing the received images via a machine learning model trained on labeled image training data to detect extraneous image portions. Extraneous image pixels associated with the extraneous image portions are identified and replaced with replacement image pixels from previously stored image pixels to form modified images. The modified images may be transmitted during the video conference.

Currently, artificial reality (XR) experiences typically only provide a representation of the user's upper body (e.g., as an avatar). While the legs don't have a wide range of movement and expression in XR, they need to bring a sense of credibility to the digital human presented in XR. However, tracking the legs can be difficult because they are often invisible to the XR device's camera. Several aspects of this disclosure provide a full-body synthesis system that can generate plausible full-body poses of a user in real time on an XR device by leveraging generative machine learning. The full-body synthesis system is compatible with a wide number and types of inputs (e.g., joint position / rotation / acceleration, computer vision models, etc.) and can be applied to users of any height, body size, and body shape.