Abstract: A system and method for compressing and restoring data using a hierarchical multi-level autoencoder architecture and correlation network. The system compresses data using a cascade of autoencoders, each focusing on different scales or features, allowing for efficient representation across various resolutions. Data restoration employs a corresponding hierarchical decoder structure and a correlation network, trained on cross-correlated data sets. This approach leverages inter-data relationships at multiple scales, potentially recovering more lost information than traditional single-scale methods. The hierarchical structure adapts to diverse data types, achieving higher compression ratios while maintaining data quality, applicable to fields such as remote sensing, IoT data processing, and multimedia compression.

Abstract: This application describes an AI-powered Cloud-native Network Video Recorder (NVR) apparatus. This apparatus features multiple Power over Ethernet (PoE) ports, processors, computer-readable memories, and firmware implementing a camera-integration module, an Artificial Intelligence (AI) module, and a cloud-access module. The camera-integration module enables efficient connection and video data reception from heterogeneous cameras. The AI module processes the video data, identifying and generating clips of interest, optimizing surveillance efficiency. Finally, the cloud-access module facilitates the uploading of these clips to cloud storage, ensuring accessible and secure data management. This innovative NVR apparatus enables users to deploy a cloud-native video surveillance system using existing camera devices, significantly lowering the cost of adoption.

Abstract: A trained first model is generated through first learning using a first learning image group constituted of a normal image which is a medical image having no region of interest. An input image group including at least the medical image different from the first learning image group is input to the trained first model, and abnormality detection is performed. The extracted image used for learning to prevent erroneous recognition is sorted according to a result of the abnormality detection, and second learning using a second learning image group including at least the extracted image is performed. A second model that detects the region of interest is generated through the second learning.

Abstract: A video camera includes a camera for capturing a video stream and a controller that is operably coupled to the camera. The controller, which includes processing resources, is configured to determine a current utilization of one or more of the processing resources and to determine which of a plurality of video analytics algorithms should be executed based at least in part on the determined current utilization of the one or more processing resources. The controller is configured to execute two or more of the plurality of video analytics algorithms on the video stream to identify one or more events in the video stream, wherein the controller executes the two or more of the plurality of video analytics algorithms, and sends an alert in response to identifying one or more events in the video stream.

Abstract: In one embodiment, a method includes maintaining a video communication between client devices with each being associated with a respective video stream, which is associated with a respective match scale measured based on a height of frames of the video stream and a depth of subjects within the frames, determining a respective scaling factor and cropping for each video stream, wherein the respective scaling factor is calculated based on the match scale associated with the corresponding video stream and a target match scale determined from the match scales associated with all video streams, and wherein the respective cropping is determined based on a uniformity of positions of the subjects within the frames across all video streams, generating a merged video stream from each video stream based on the respective scaling factor and cropping, and sending instructions for presenting the merged video stream to one or more of the client devices.

Abstract: The present invention discloses a vehicle remote control system that includes a user interface including an input portion receiving an input of vehicle control from a user, a communication portion wirelessly communicating with a vehicle control unit, and an informing portion outputting information, and an information control unit commanding the informing portion of the user interface to output information at start time or end time of drive control or specific event occurrence time during the drive control when the drive control including start control or move control of the vehicle is performed by the vehicle drive control unit being controlled through the user interface.

Abstract: A system includes a sensor detecting entry/exit of a person to/from a toilet and a sensor detecting leaving/sitting on a toilet seat installed on a toilet bowl; acquires excretion information indicating at least a start and an end of excretion, based on imaging data captured by an image capture apparatus installed in such a way as to include, in an image capture range, an excretion range of excrement in the bowl; authenticates a person performed entry/exit, and determines whether the person is a person to be assisted as a user of the toilet or a helper; outputs notification information to a notification destination, based on a detection event indicated by the excretion information, entry/exit information, leaving/sitting information, and an authentication result, and a notification condition; and stores, as the notification condition, necessity of notification, and the notification information and the notification destination when notification is necessary, for each events.

Abstract: A video doorbell system operable to generate a chime sound, comprises a transformer, operable to convert a premise's power supply to a suitable. The video doorbell system further includes a video doorbell having a processor, a video camera and a wireless communication module. The video doorbell is electrically connected to the transformer by a two-wire interface. The processor within the video doorbell operable to generate a chime signal using power supplied from the two-wire interface when a doorbell button is depressed. The video doorbell system further includes a chime controller, electrically connected to the transformer and the video doorbell by the two-wire interface. The video doorbell system continues to provide sufficient power to the video doorbell from the transformer via the two-wire interface so as to be able to operate the processor, video camera and wireless communication module while the doorbell button is currently depressed.

Abstract: An own-position estimating device for estimating an own-position of a moving body by matching a feature extracted from an acquired image with a database in which position information and the feature are associated with each other in advance, includes an estimating unit estimating the own-position of the moving body by matching the feature extracted by the extracting unit with the database, and a determination threshold value adjusting unit adjusting a determination threshold value for extracting the feature, in which the determination threshold value adjusting unit acquires the database in a state in which the determination threshold value is adjusted, and adjusts the determination threshold value on the basis of the determination threshold value linked to each of the position information items in the database, and the extracting unit extracts the feature from the image by using the determination threshold value adjusted by the determination threshold value adjusting unit.

Abstract: Systems, devices, computer-implemented methods, and/or computer program products that can facilitate pedestrian detection via a boundary cylinder model are addressed. In one example, a system can comprise a processor that executes computer executable components stored in memory. The computer-executable components can comprise a bounding cylinder model component that determines numerical values for height and radius parameters of a three-dimensional bounding cylinder model representing a pedestrian, and that generates the three-dimensional bounding cylinder model representing the pedestrian based on the numerical values.

Abstract: Described is a method for extraction of a region of interest (ROI) from a composite synthetic aperture radar (SAR) phase history data. The method comprising receiving, with a system comprising a processor, the composite SAR phase history data of a plurality of backscattered return signals produced by a SAR system illuminating a scene with a SAR beam. The method also comprises obtaining a location of a first ROI within the scene and extracting from the composite SAR phase history data a first component SAR phase history data corresponding to the ROI at the location of the ROI.

Abstract: A video management apparatus 100a includes: an abnormality video registration unit 135 configured to associate a plurality of abnormality video data obtained in a respective plurality of first worksites at an abnormality occurrence time with the respective pieces of first worksite information related to safety of the respective first worksites, and to register the plurality of abnormality video data in an abnormality video database 125, in response to obtaining each of a plurality of pieces of abnormality occurrence information indicating abnormalities that have occurred at the respective plurality of first worksites; a notification processing unit 137 configured to notify a second terminal associated with a second worksite, of information related to the registration of these abnormality video data; and a video distribution processing unit 139 configured to distribute the abnormality video data associated with the second worksite from among the plurality of abnormality video data to the second terminal.

Abstract: In an embodiment, a method includes obtaining radiation emitted from a radiation source. The method includes modulating the radiation with a time-varying modulation to generate a time-varying illumination pattern with a known modulation. The illumination pattern includes a time-varying intensity for each of a plurality of spatial locations. The method includes illuminating a target volume with the illumination pattern. The method includes collecting a signal generated by one or more objects within the target volume in response to illumination by the illumination pattern. The method includes estimating a location of each of the one or more objects based on the collected signal and the known modulation.

Abstract: An information display device for displaying activity schedule of an assigned user provided with one of seats in advance, detects position and direction of the information display device; acquires distance from the information display device to a display target seat of an assigned user whose activity schedule is to be displayed; uses the position, the direction, and the distance to calculate display seat position of the display target seat; extracts, from a table which registers assigned user information of assigned users of the seats in association with registration seat position of the seats, one piece of the assigned user information registered in association with one piece of the registration seat position which is closest to the display seat position; acquires current activity schedule registered in association with the one piece of the assigned user information; and displays the acquired activity schedule on a display unit.

Abstract: A work machine includes a manipulation device, a surrounding area monitoring device, and a controller. The manipulation device outputs a manipulation signal to operate the work machine. The surrounding area monitoring device serves as a device for detecting whether an object to be recognized is present or not inside a set region that is set in a surrounding area of the work machine. The controller controls the work machine. The controller is capable of switching a setting of an object sensing function between execution and non-execution, the object sensing function being to restrict movement of the work machine when it is detected that the object is present inside the set region. When the manipulation signal is detected in a state where the object sensing function is set at non-execution, the controller switches the setting of the object sensing function to execution.

Abstract: A system and method for real-time monitoring of personal protective equipment (PPE) compliance at a worksite. The system includes a processor, a host memory, a graphical processing unit (GPU), a GPU memory, a storage device, an input device, a plurality of cameras, and a display device. The system creates multiple inference engines and loads input frames from the storage device for pre-processing. The pre-processed frames are processed to obtain annotations and generate an output file. The system also includes a preparatory area and an operations area with cameras configured to capture and transmit video frames. The system can process input frames at a rate of at least 15 frames per second, providing real-time PPE compliance information.

Abstract: A monitoring system for obtaining a video related to medication adherence of a user, includes: a wireless communication device comprising a motion sensor, an ambient light sensor, a first transceiver transmitting data to an external device, and a first controller configured to control the motion sensor, the ambient light sensor, and the first transceiver, the wireless communication device having an attaching portion for being attached to an object containing a medication; and a wearable device including a camera, a second transceiver receiving a signal from the first transceiver, and a second controller configured to obtain video data through the camera based on the signal received through the second transceiver.

Abstract: A system and apparatus are disclosed herein for vehicle to everything (V2X) wireless communication. A V2X wireless transmit/receive unit (WTRU) may receive a vehicle to everything (V2X) message including configuration information and a road side unit (RSU) address. The WTRU may then transmit a message to the RSU according to the configuration information including multimedia broadcast multicast services (MBMS) data. The configuration information may include a MBMS service descriptor. One or more of the V2X messages may include priority information, WTRU type information, or both.

Abstract: A method for 2D semantic keypoint detection and tracking is described. The method includes learning embedded descriptors of salient object keypoints detected in previous images according to a descriptor embedding space model. The method also includes predicting, using a shared image encoder backbone, salient object keypoints within a current image of a video stream. The method further includes inferring an object represented by the predicted, salient object keypoints within the current image of the video stream. The method also includes tracking the inferred object by matching embedded descriptors of the predicted, salient object keypoints representing the inferred object within the previous images of the video stream based on the descriptor embedding space model.

Abstract: A system and method for a videostream is operating correctly. The system decompresses a compressed videostream which includes a compressed graphical timestamp, thereby resulting in a decompressed videostream with a decompressed graphical timestamp, the compressed timestamp and the decompressed graphical timestamp associated with an insert time. The system then renders the decompressed videostream, resulting in a rendered videostream with a rendered graphical timestamp. The system then extracts the rendered graphical timestamp from the rendered videostream at an extract time and determines whether a difference between the insert time of the rendered graphical timestamp and the extract time exceeds a predetermined threshold.

Abstract: A method includes detecting a first object in a first area of a scene; determining, based on characteristics of the first object, a first probability value indicating a first probability that the detected first object; detecting a second object in a second area of the scene captured in a second stream of image frames by a second camera of the camera system different from the first camera, wherein the second area at least partly overlaps the first area; determining, based on characteristics of the second object, a second probability value indicating a second probability that the detected second object; and when the second probability value is below a second threshold value and the first probability value is above a first threshold value determining an updated second probability value by increasing the second probability value.

Abstract: An apparatus configured to: receive spatial audio data comprising audio captured from a space extending around a capture device and directional information; receive video imagery captured by a camera, wherein the extent of the space from which the spatial audio data is captured is greater than the field of view of the camera; associate each audio sources determined from the directional information, with, for audio sources within the field of view, a region of the video imagery that corresponds to the direction towards the audio source, and, for audio sources outside the field of view, a part of an out-of-view graphic, the out-of-view graphic indicative of the spatial extent of the space outside the field of view; display the video imagery and the out-of-view graphic; receive user input; and provide for control of at least one audio capture property of a selected one of said one or more audio sources.

Abstract: A video stream processing method is provided. A first group of coded picture frames in a video stream is received. A storage time and a network request protection time corresponding to the first group are determined. The storage time is an amount of time an intra frame of the first group is stored for transmission to a network node. When a transmission conflict with at least one second terminal occurs in a process of transmitting the intra frame to the network node, a start time of at least a second group of coded picture frames in the video stream is determined according to the storage time and the network request protection time, the second group being after the first group. An intra frame of the second group is transmitted to the network node based on the start time of the second group.

Abstract: A wearable electronic device includes a head-mounted display (HMD) and a retention band connected to the HMD. The retention band can include a display assembly positioned within the retention band for displaying visual information on an exterior of the retention band.

Abstract: A computer-implemented method of obtaining an excursion report for an aircraft is disclosed. The aircraft includes one or more sensors and a vision system, and the method includes obtaining sensor data from the one or more sensors; storing and time-stamping the sensor data; operating the vision system to detect the aircraft leaving a runway or taxiway; recording a start time of an excursion period based on a time of detection of the aircraft leaving the runway or taxiway; operating the vision system to detect the aircraft returning to the runway or taxiway; recording an end time of the excursion period based on a time of detection of the aircraft returning to the runway or taxiway; and compiling an excursion report, the excursion report comprising: the start time of the excursion period, the end time of the excursion period and a subset of the sensor data which was time-stamped during the excursion period.

Abstract: An information processing apparatus according to an embodiment of the present technology includes a classification unit and a generation unit. The classification unit classifies an object detected in a space on a basis of a predetermined criterion. The generation unit sets a priority for the object on a basis of a classification result by the classification unit, and generates position-related information regarding a position in the space on a basis of the set priority. Use of the position-related information makes it possible to improve the accuracy of autonomous movement control. This makes it possible to improve the accuracy of autonomous movement control.

Abstract: A monitoring unit for security and automation in a premises are described. The monitoring unit uses remote configuration and control to enable monitoring of a premises. The monitoring unit provides multiple monitoring functions to respond to events within the space and alert a user at a remote device like a smartphone. An image sensor provides a wide field of view which can be segmented on the mobile device to enable specific areas to be viewed enabling the user to view the area and be alerted when an event occurs based upon a rules based configuration.

Abstract: An image processing method and apparatus, a computer device, and a computer-readable storage medium. The image processing method includes: displaying a first application page, the first application page including an original role object and a face fusion control; acquiring a user face image of a target user in a case that the face fusion control is triggered; and displaying a target role object on a second application page, the target role object being obtained by fusing the user face image and the original role object, a display angle of the target role object matching posture information of the target user, and the posture information of the target user being determined according to the user face image.

Abstract: Methods and apparatus for pet detection in security systems. In one example, a method includes detecting a motion event in a scene using a motion detector, based on detecting the motion event, activating an image capture device to acquire a plurality of images of the scene, applying a motion detection process to the plurality of images to detect motion in the scene, applying an object detection process to at least one of the plurality of images to detect an object in the scene, pairing the motion with the object to locate a moving object, identifying the moving object as a pet, and based at least in part on identifying the moving object as a pet, deactivating the image capture device.

Abstract: Methods and systems for identifying device positions include measuring radio signal strength information between devices. Inertial information is measured for the devices. The radio signal strength information and the inertial information are fused to determine relative locations between the devices. The relative locations are oriented to a fixed anchor node. Elevation is estimated for the plurality of devices using pressure sensor information.

Abstract: A camera system for a venue including a camera mounted above the venue; a server including artificial intelligence (AI) adapted to follow a subject having a position; the AI adapted to generate aiming instructions based on the position of the subject. The camera being in communication with the server to receive and implement the aiming instructions. The camera system may include a wide area LED light mounted to a light pole. The camera may be mounted to the light pole. The camera system may include wide area LED light is in communication with the server. The wide area LED light produces light at an intensity and the server is adapted to vary the intensity based on the position of the subject.

Abstract: Systems and methods are disclosed for a shuttle track system having a calibration shuttle for determining portions of the track having non-conforming geometry for optimum use of the shuttle track system. For example, the shuttle track system may include a track having an electromagnetic propulsion system (e.g., linear synchronous motor) embedded between two sides of the track. The calibration shuttle may move to various locations on the track and may use imaging systems for generating image data of a portion of the track. A trained model may process the image data to determine edges and surfaces of the components of the track and may determine distances between reference points on the track. The distances may be compared to threshold values to determine if they are in conformity with desired track geometry.

Abstract: A video encoding/decoding method and apparatus, a computer device, and a storage medium. The method comprises: for each non-key frame in a video frame sequence, dividing a current non-key frame into a plurality of sub-image blocks according to information of an object in the current non-key image, and determining an importance level of each sub-image block; according to a pre-stored first correlation between different importance levels and different resolutions, performing conversion to make each sub-image block in each non-key frame have a resolution corresponding to the importance level of the sub-image block, wherein in the first correlation, a higher importance level corresponds to a higher resolution, and the highest importance level corresponds to a target highest resolution; and performing video encoding on the video frame sequence to obtain encoded video data. By means of the method, memory and bandwidth occupied by a video can be reduced.

Abstract: A method for sharing surveillance video and receiving payment therefor utilizing a video sharing operator/manager is provided including providing access to video segments created by virtual viewpoint video surveillance camera systems tagged with capture information, providing a connection from each of the camera systems to the video sharing operator/manager and registering sellers of video. The method continues with receiving uploaded capture information on a searchable database from the camera systems and registering buyers. The method continues with receiving a search request from a buyer based on a specific set of capture information and receiving an uploaded requested video segment in response to the search request. The seller receives payment for the video segment from the buyer and, the video segment is downloaded to the buyer.

Abstract: The disclosed technology includes gunfire response systems and methods to detect gunfire, turn off lights when gunfire is detected, disable the lights from being switched on, and notify emergency responders. Such systems can help minimize ensuing risk following a shooting event by limiting the vision of a person who produced the gunfire. In some embodiments, the light switch system comprises one or more sensors. In some specific embodiments, the sensors include a microphone, infrared sensor, and optionally a camera. In some specific embodiments, the system is configured to detect gunfire sound, detect a type of gun that produced gunfire, and count of a number of shots of the gunfire.

Abstract: The present disclosure provides a comprehensive system for remote property monitoring utilizing mobile devices, autonomous drones, and artificial intelligence (AI). The system includes a mobile application for user registration and monitoring requests, a central processing server for data analysis and management, and drones and mobile devices for capturing high-resolution images and videos. AI algorithms process the captured data to detect anomalies or unauthorized activities. The system generates real-time alerts and detailed reports, which are sent to property owners via the mobile application. The flexibility of the system allows it to be hosted in the cloud, on-premises, or in a hybrid model. The invention also supports integration with third-party home security systems, enhancing overall security. Key applications include property security, agricultural monitoring, infrastructure inspection, environmental conservation, disaster response, and urban planning.

Abstract: A hydraulic excavator includes: operation devices that output, based on operation by an operator, operation signals to operate a lower travel structure, an upper swing structure, and a front work implement; solenoid valves 23a, 23b, 24a, and 24b that limit the operation signals outputted from the operation devices; and a controller that controls the solenoid valves based on detection signals from sensors, and that detect objects in the surroundings of a machine body. The detection ranges of the sensors, and include a first detection range TR defined based on travel performance of the lower travel structure and a second detection range SW defined to be along a swing radius of a rear end of the upper swing structure. As a result, the influence of excessive alarm on the working operator can be reduced while enhancing detection accuracy by setting the detection range according to action range of the work machine.

Abstract: This disclosure relates to improved systems and methods for predicting the correlation between the performance of an entity and one or more data assets related to that entity. The techniques described herein can be utilized to generate various types of data asset predictions that objectively quantify or measure metrics related to the data assets. In some embodiments, one or more machine learning models can be executed to perform relevancy and/or correlation analyses, and the outputs of the machine learning models can be utilized to generate the data asset predictions. Other embodiments are disclosed herein as well.

Abstract: Techniques are described for automated operations related to analyzing visual data from images captured in rooms of a building and optionally additional captured data about the rooms to assess room layout and other usability information for the building's rooms and optionally for the overall building, and to subsequently using the assessed usability information in one or more further automated manners, such as to improve navigation of the building. The automated operations may include identifying one or more objects in each of the rooms to assess, evaluating one or more target attributes of each object, assessing usability of each object using its target attributes' evaluations and each room using its objects' assessment and other room information with respect to an indicated purpose, and combining the assessments of multiple rooms in a building and other building information to assess usability of the building with respect to its indicated purpose.

Abstract: A method for determining a noteworthy sub-sequence of a monitoring image sequence of a monitoring area. The method includes: providing an audio signal from the monitoring area, at least partially including a time period of the monitoring image sequence; providing the monitoring image sequence of the environment to be monitored, which has been generated by an imaging system; determining at least one segment of the audio signal from the provided audio signal, which has unusual noises; determining at least one segment of the monitoring image sequence having unusual movements within the environment to be monitored; determining a correlation between the at least one segment of the audio signal having unusual noises and the at least one segment of the monitoring image sequence with unusual movements in order to determine a noteworthy sub-sequence of the monitoring image sequence.

Abstract: In response to detecting that a display device is in a multi-stream transport mode, an information handling system determines a display partition layout of the display device. The system transmits setup display patterns according to the display partition layout of the display device, wherein the setup display patterns include a first display pattern and a second display pattern, wherein the first display pattern is associated with a first display partition, and wherein the second display pattern is associated with a second display partition. In response to determining that the first display pattern should be associated with the second display partition and that the second display pattern should be associated with the first display partition, the system associates the first display pattern with the second display partition and associates the second display pattern with the first display partition.

Abstract: Techniques are described for performing actions (e.g., streaming video content, such as advertising content) based on visual markers detected within a live video feed being streamed to one or more computing devices. First video content is streamed to the one or more computing devices. A presence of a content item within the first video content is detected at a first point in time during streaming of the first video content. An action associated with the content item is performed at a second point in time in response to detection of the presence of the content item in the first video content.

Abstract: To efficiency search for an object associated with a sensed event, an information processing apparatus includes a sensor that analyzes a captured video and senses whether a predetermined event has occurred, a determining unit that determines a type of an object to be used as query information based on a type of the event in response to sensing of the event occurrence, and a generator that detects the object of the determined type from the video and generates the query information based on the detected object.

Abstract: A camera module attaches a camera to a motor vehicle. The camera module includes a camera unit having an optical axis, and a support configured for accommodating the camera. The support has a main positioning surface transverse to the optical axis, such as when the camera is mounted with the support, the front contact surface of the camera and the main positioning surface are in contact. A cover is attachable to the support to retain the camera pressed against the support in a direction parallel to the optical axis. First pressure means are provided in the cover or in the support, and as when the cover is fastened with the support, the pressure means press the camera unit against the support in a direction parallel to the optical axis (X) or perpendicular to the main positioning surface.

Abstract: Systems and methods may involve processing of entity data by machine learning models to produce one or more entity and/aggregate risk scores and/or aggregate anticipated risk scores, which may be compared to one or more thresholds to determine when one or more predefined actions should be taken. The entity data may be collected for various entities related to an exam registration and delivery process, which may include a candidate, an exam, a test center, an exam registration event, a proctor, and an exam delivery event. The exam registration and delivery process may include multiple states—each being associated with a different set of entities. Aggregate risk scores for a given state may be calculated using only entity data for the set of entities associated with that state. The predetermined actions taken may also be dependent on the current state.

Abstract: A computer-implemented method and computing system for sensing events and optionally and preferably augmenting a video feed with overlay, comprising in some embodiments a data acquisition module, a sensor module, and optionally and preferably an overlay module. By describing the state of an activity with models that capture the semantics of the activity and comparing this description to a library of event patterns, occurrences of events are detected. Detected events are optionally processed by the overlay module to generate video feed augmented with overlay illustrating said events.

Abstract: A method for controlling a PTZ camera having a controllable FOV includes detecting a first detection event by a first detector located at a first location that is along a first path in a monitored region. In response to the first detection event, the PTZ camera is automatically controlled such that the FOV of the PTZ camera includes at least part of the first detection region along the first path in the monitored region. A second detection event is detected by a second detector located at a second location that is along the first path in the monitored region, wherein the second location is spaced from the first location. In response to the second detection event, the PTZ camera is automatically controlled such that the FOV of the PTZ camera includes at least part of the second detection region along the first path in the monitored region.

Abstract: An image capturing apparatus includes a sound collection unit configured to collect a voice, an analysis unit configured to analyze a voice collected by the sound collection unit, an automatic image capturing unit configured to automatically capture an image, and a setting unit configured to set image capturing frequency of the automatic image capturing unit, wherein, in a case where a result of analysis by the analysis unit is a specific voice instruction, the setting unit sets the image capturing frequency higher after an operation is performed according to the instruction.

Abstract: An electronic monitoring system and method are provided. The electronic monitoring system monitors communication of data between a device primary radio of a monitoring device and a hub primary radio through a primary communication path. Communication of the data is transferred to a secondary communication path between a device secondary radio of the monitoring device and a hub secondary radio in response to the detection of a disruption on the primary communication path resulting from interference or jamming of communications over the primary communication path. The primary and secondary radios operate a different frequencies.

Abstract: An indication of a physical access action performed by a person in proximity of a camera determines a manner in which the physical access action is performed. An operational profile of the camera is set to control capture at the proximity of the camera based on the manner in which the physical access action is performed. This includes selecting the operational profile from a first operational profile and a second operational profile that is different from the first operational profile.