Abstract: A system and method for determining relationships between fields of views of surveillance cameras is disclosed. In the system, a user device such as a mobile phone receives image data from the cameras, and an analytics system of the user device analyzes the image data to determine the relationships between the fields of views of the surveillance cameras. The relationships include overlap among fields of view of at least two of the cameras and deadzones, where deadzones are areas monitored by the cameras that are not included within any of the fields of view of any of the cameras. In a preferred embodiment, the surveillance cameras capture image data of a scene while an installer holding the user device walks one or more critical paths through the scene. The user device then analyzes image data from the cameras during the critical path definition to determine any overlap and/or deadzones.

Abstract: A system and method for deadzone detection in a surveillance camera network is disclosed. In a preferred embodiment, a mobile user device held by an installer is moved through one or more critical paths within the premises while surveillance cameras of the network are capturing image data of the premises. An analytics system then tracks the installer/user device through the image data over the time interval for the critical path definition, and locates deadzones based on position information of the premises along the critical path and absence of installer/user device in the image data over the time interval. In another embodiment, an analytics system identifies individuals within image data captured from the cameras, tracks movement of the individuals across the fields of view of the cameras represented by the image data, and infers deadzones based on tracking the individuals and deadzone times calculated for each of the individuals.

Abstract: A system and method of designating regions of interest for surveillance cameras is disclosed. The system enables definition of regions of interest simultaneously across multiple cameras. This is useful when the cameras are positioned to monitor the same region of interest within their scenes. Each camera monitors image data for designation of regions of interest, stores the regions of interest, and analyzes the image data from the cameras based on the regions of interest. Preferably, each camera has an integrated analytics system for analyzing the image data based on the regions of interest. A setup process between a user device (e.g. mobile phone) and the cameras enables definition of the regions of interest. In embodiments, the regions of interest are defined in response to the cameras tracking either the user device or an optical device as an operator moves the devices to outline the regions of interest within the scene.

Abstract: A system and method of designating regions of interest for surveillance cameras is disclosed. The system enables definition of regions of interest simultaneously across multiple cameras. This is useful when the cameras are positioned to monitor the same region of interest within their scenes. Each camera monitors image data for designation of regions of interest, stores the regions of interest, and analyzes the image data from the cameras based on the regions of interest. Preferably, each camera has an integrated analytics system for analyzing the image data based on the regions of interest. A setup process between a user device (e.g. mobile phone) and the cameras enables definition of the regions of interest. In embodiments, the regions of interest are defined in response to the cameras tracking either the user device or an optical device as an operator moves the devices to outline the regions of interest within the scene.

Abstract: A system and method for determining relationships between fields of views of surveillance cameras is disclosed. In the system, a user device such as a mobile phone receives image data from the cameras, and an analytics system of the user device analyzes the image data to determine the relationships between the fields of views of the surveillance cameras. The relationships include overlap among fields of view of at least two of the cameras and deadzones, where deadzones are areas monitored by the cameras that are not included within any of the fields of view of any of the cameras. In a preferred embodiment, the surveillance cameras capture image data of a scene while an installer holding the user device walks one or more critical paths through the scene. The user device then analyzes image data from the cameras during the critical path definition to determine any overlap and/or deadzones.

Abstract: A system and method for deadzone detection in a surveillance camera network is disclosed. In a preferred embodiment, a mobile user device held by an installer is moved through one or more critical paths within the premises while surveillance cameras of the network are capturing image data of the premises. An analytics system then tracks the installer/user device through the image data over the time interval for the critical path definition, and locates deadzones based on position information of the premises along the critical path and absence of installer/user device in the image data over the time interval. In another embodiment, an analytics system identifies individuals within image data captured from the cameras, tracks movement of the individuals across the fields of view of the cameras represented by the image data, and infers deadzones based on tracking the individuals and deadzone times calculated for each of the individuals.