G08B13/1968

Chronological activity monitoring and review
09728055 · 2017-08-08 · ·

A computer-implemented method for monitoring activity at a location, provides receiving a first data signal and a second data signal, wherein the first and second data signals are related to activities detected at a location, and reproducing the first and second data signals in a chronology that indicates relative timing of receipt of the first and second data signals via a user interface. This may accelerate review and inspection of multiple data signals recorded over time, including data signals of various types. The coincidence of patterns in the data signals may be detected and brought to the user's attention for closer review, such as via transmission of a message or transmission of a segment of recorded data.

System and Method for Displaying Moving Objects on Terrain Map

The invention refers to the area of data visualization on the terrain map, and more specifically to the analysis of video data received from cameras linked to an interactive terrain map for subsequent display in real time of all objects moving in the frame on the mentioned terrain map. A system for displaying the moving objects on the interactive terrain map comprising multiple video cameras, an object tracker, data processing and storage device that has a graphical user interface (GUI). GUI comprising a display unit, a unit for setting the interactive map, a unit for setting the video camera viewing angle. The data processing and storage device is configured to receive the video data from the video cameras, as well as metadata of all moving objects from the object tracker, analyze the received video data and object metadata, display the real image moving object in real time on an interactive map at location on the map where this object is currently moving. The image location on the map and the image of the moving object itself change in real time based on the video data and metadata of the moving object. The interactive map displays all moving objects that fall within the field of vision of any of the video cameras linked to the map, for which the user has preset the viewing angle.

Analytics for planning an upgrade to a video camera surveillance system

One example electronic computing device includes electronic processor configured to store a list of a plurality of video cameras being considered for an upgrade. The electronic processor may be further configured to receive first video footage captured by a first video camera and second video footage captured by a second video camera. The electronic processor may be further configured to analyze the first video footage and the second video footage to generate a plurality of upgrade priority scores. In response to determining that a first upgrade priority score of the first video camera is greater than a second upgrade priority score of the second video camera, the electronic processor may be further configured to output an upgrade priority notification configured to inform a user that the first video camera has a higher upgrade priority than the second video camera.

Systems and methods for monitoring advertisements

A system for monitoring advertisements has a security camera and sensor that are positioned to monitor an area surrounding the advertising structure with the advertisement. The camera and sensor can be controlled by a control module. The control module can activate the camera in response to receiving a signal from the sensor indicating activity in the area surrounding the advertising structure. The camera can capture images of the area surrounding the advertising structure and provide the images to the control module. The control module can then provide the images to a server for access by a user.

FACILITY SURVEILLANCE SYSTEMS AND METHODS

Systems and methods for surveillance of a facility including facility elements. The system includes a central computing unit providing a digital model of the facility providing topological or logical or functional relationships of the facility elements, surveillance sensors adapted for surveillance of a plurality of the facility elements and for generation of surveillance data, communication means for transmitting data from the surveillance sensors to the central computing unit, and state derivation means configured to analyse the surveillance data and derive a state of a respective facility element. The central computing unit is configured to record a state pattern by combining states of at least one facility element based on at least one relationship of the facility element provided by the facility model, provide a state pattern critical-noncritical classification model which considers relationships provided by the facility model, and perform a criticality-classification based on the relationship.

Tracking assistance device, tracking assistance system, and tracking assistance method

Tracking assistance to reduce a burden on a monitoring person, includes search condition setter setting a search condition by user operation, tracking target setter setting, as a tracking target, a person designated by monitoring person's operation to select a tracking mark on a tracking target search screen displaying a video conforming to the search condition, confirmation video presentor displaying tracking target confirmation screen displaying video of a person having a highest possibility of being the tracking target from each camera as a confirmation video, video display period setter that in a case where the tracking mark is not displayed in the tracking target on the tracking target search screen, sets a video display period by the user's operation, and in-camera tracking information corrector correcting the tracking information to display the confirmation video on the tracking target confirmation screen based on the video display period.

Video analytics system
11328566 · 2022-05-10 ·

A security system can use video analytics and/or other input parameters to identify a theft event. Optionally, the security system can take remedial action in response. For example, the security system can use video analytics to determine that a person has reached into a shelf multiple times at a rate above a threshold, which can indicate that a thief is quickly removing items from the shelf. The security system can also use video analytics to determine that a person has reached into a shelf via a sweeping action, which can indicate that a thief is gathering and removing a large quantity of items from the shelf in one motion. In response, the security system can alert security personnel, cause a speaker to output an audible message in the target area, flag portions of the video relating to the theft event, activate or ready other sensors or systems, and/or the like.

Monitoring smart devices on a wireless mesh communication network
11308776 · 2022-04-19 · ·

A surveillance system and method with at least one wireless input capture device ICD(s) and a corresponding digital input recorder (DIR) and/or another ICD, including the steps of providing the base system; at least one user accessing the DIR via user interface either directly or remotely; the DIR and/or ICD searching for signal from the ICD(s) and establishing communication with them, and the system providing for input capture and data transmission prioritization, thereby providing a secure surveillance system having wireless communication for monitoring a target environment with prioritization capabilities.

Determining alerts based on video content and sensor data

One or more video gateway devices configured to: access pre-configured criteria including at least a first condition, a second condition, and a first event; access video content captured by cameras configured to capture video of areas of a manufacturing facility; determine, based on an analysis of the video content, that the first condition is satisfied; access sensor data from one or more sensors; determine, based on an analysis of the sensor data, that the second condition is satisfied; and based on determining that the first and second conditions are satisfied, cause the first event to be executed.

Auto-configuration for a motion detector of a security device

Configuring motion detection by a security device. The security device includes a camera configured to capture images of an environment in front of the security device and a motion sensor for detecting motion within the environment. The system also includes a server and a client device that are interconnected by a network. An AI learning module interacts with a user of the client device to capture an image of the user within the environment in front of the security device, and determines parameters for the motion sensor based upon analysis of the image to determine a location of an exempt area relative to the security device. The motion detector is configured based upon the determined parameters.