Systems and methods for redundant storage among networked video cameras are described. Video data for a group of video cameras is received by a parity video camera. The parity video camera calculates parity across the peer video data, stores the parity data to one storage location and backup video data for the storage location to another storage location. In some examples, the storage locations are selected from among the non-volatile memory of the group of video cameras or another group of video cameras.

In some embodiments, a security device comprises a context information intake device, a sensor, and a controller. The controller is configured to activate the context information intake device when the sensor detects an activation event initiated by an object such that the context information intake device records context information associated with the object; and perform a context-aware cryptographic process to cryptographically authenticate the object using attribute-based access control based on the recorded context information associated with the object.

In some embodiments, a security device comprises a context information intake device, a sensor, and a controller. The controller is configured to activate the context information intake device when the sensor detects an activation event initiated by an object such that the context information intake device records context information associated with the object; and perform a context-aware cryptographic process to cryptographically authenticate the object using attribute-based access control based on the recorded context information associated with the object.

A method for intelligently measuring vehicle speed based on a binocular stereo vision system includes: training a Single Shot Multibox Detector neural network to obtain a license plate recognition model; calibrating the binocular stereo vision system to acquire parameters of two cameras; detecting the license plates in the captured video frames with the license plate recognition model, locating the license plate position; performing feature point extraction and stereo matching by a feature-based matching algorithm; screening and eliminating the matching point pairs, and reserving the coordinates of the matching point pair closest to the license plate center; performing stereo measurement on the screened matching point pair to get the spatial coordinates of the position; calculating and obtaining the speed of the target vehicle. The present invention is easy to install and adjust, could simultaneously recognize multiple trained features automatically, and better suit the intelligent transportation networks and IoT (Internet of Things).

An electronic device detects a first operation for enabling burst shooting; obtains, in response to the first operation, at least two groups of raw data collected by the camera, where each group of raw data corresponds to one image; sends the at least two groups of raw data to the cloud server, so that the cloud server generates, based on each group of raw data, a corresponding thumbnail and an image corresponding to the thumbnail; receives at least one thumbnail from the cloud server; displays the at least one thumbnail on a display; sends a request message to the cloud server after detecting a second operation for selecting a first thumbnail included in the at least one thumbnail, where the request message is used to request a first image corresponding to the first thumbnail; receives the first image from the cloud server; and displays the first image on the display.

An electronic device includes a memory, at least one camera module, and a processor operatively connected to the memory and the at least one camera module. The processor is configured to, while acquiring first recording data by using the at least one camera module, detect at least one designated gesture input on the basis of at least a part of the acquired first recording data. The processor executes a function corresponding to the detected gesture input. The processor creates and stores a second recording data in the memory. The second recording data includes data remaining after excluding, from the acquired first recording data, recording data corresponding to a time interval from the detection initiation time point of the detected gesture input to detection termination time point of same.

A video record system and an operation method thereof are provided. The video record system includes at least one camera and a controller connected with the at least one camera. The controller records a video around a vehicle using the at least one camera, records location information of the vehicle when recording the video, and provides a list of videos recorded according to a driving situation of the vehicle.

A video record system and an operation method thereof are provided. The video record system includes at least one camera and a controller connected with the at least one camera. The controller records a video around a vehicle using the at least one camera, records location information of the vehicle when recording the video, and provides a list of videos recorded according to a driving situation of the vehicle.

At a high level, embodiments of the invention relate to augmenting video data with presence data derived from one or more proximity tags. More specifically, embodiments of the invention generate forensically authenticated recordings linking video imagery to the presence of specific objects in or near the recording. One embodiment of the invention includes video recording system comprising a camera, a wireless proximity tag reader, a storage memory and control circuitry operable to receive image data from the camera receive a proximity tag identifier identifying a proximity tag from the proximity tag reader, and store an encoded frame containing the image data and the proximity tag identity in the storage memory.

The present disclosure includes a server apparatus, a recording method, a non-transitory computer-readable, and a system. In one example, the server apparatus includes a recording unit and a controller. The controller is configured to receive image data of a subject from a camera, control the recording unit to record the image data of the subject that is received from the camera, monitor the image data of the subject to determine whether the image data of the subject that is received from the camera is abnormal, and responsive to determining that the image data of the subject that is received from the camera is abnormal, control the recording unit to perform recording end processing on the image data of the subject that has already been recorded.