Axis Ab

Mikael Ranbro

Ted Hartzell

Staffan Olsson

Joachim Ståhl

Joakim Roubert

Björn Edlund

Fredrik Olsson

Ulf Ahlfors

Ralph Myrnäs

Henrik Henriksson

Erik Jansson

There is provided a method performed by a device in a network camera system. First and second encoded image data representing the same scene are received (SSO) over a network. The first and the second encoded image data are collected under the same light condition, albeit using different camera parameters. In particular, the second encoded image data is collected using camera parameters which simulate that the second encoded image data is collected under a darker light condition. A ratio of received data amount per time unit of the first encoded image data to received data amount per time unit of the second encoded image data is determined (S) and the ratio is then used (S) as an indication of a level of noise in the first encoded image data.

Method and device in a camera network system

A network status measuring system comprising a processor; a display circuitry configured to display a schematic overview of the network; a data traffic measuring circuitry configured to measure bit rate and latency on links of the network; and a graphic generating circuitry configured to generate a graphical representation of a bit rate and a latency measured on a particular link of the network by generating objects to be displayed at the particular link of the network in connection with the schematic overview of the network. The processor is further configured to calculate a number of the objects to be displayed at the particular link of the schematic overview of the network based on the bit rate measured on the particular link of the network. The display circuitry is further configured to display the generated objects at the particular link of the schematic overview of the network.

Network status measuring system and a method for measuring status of a network

A method and system for finding services in a service-oriented architecture network may include receiving, in a local service registry from a client, a search query for a particular service. The local service registry may include a local database listing registered services. The network may include querying the local database to determine a first list of services that satisfy the search query and determining a neighboring service registry, in a network of service registries, based on a property other than a property of the particular service being searched for. The method may include sending the search query to the neighboring service registry and receiving, from the neighboring service registry, a second list of services, registered with the neighboring service registry, that satisfy the search query. The method may include returning, to the client, the first list of services and the second list of services that satisfy the search query.

Finding services in a service-oriented architecture (SOA) network

A computer device includes logic configured to implement a tunnel broker. The tunnel broker is configured to receive a request from a client device for a service in a system, the service having a requested service property; select a first node in the system that hosts a first service instance having the requested service property; and establish a communication tunnel with a first end at the client device and a second end at the selected first node. The tunnel broker is further configured to determine that the first node no longer hosts the first service instance having the requested service property or that the first node has become unreachable; select a second node in the system that hosts a second service instance having the requested service property; and move the second end of the communication tunnel from the first node to the second node.

Tunnel broker in a service oriented architecture

There is provided a method for configuration of a camera which is a replacement for one of a plurality of cameras in a network. The method comprises inter alia detecting that a new camera has connected to the network; determining that the new camera is a replacement for a particular camera among one or more candidate cameras if property data of the new camera matches property data of the particular camera; and configuring the new camera based on configuration settings corresponding to the particular camera.

Automatic configuration of a replacement camera

A system includes a first service registry that includes a first list of services available in a first one or more nodes of the system and a second service registry that includes a second list of services available in a second one or more nodes of the system, wherein the second service registry is connected to the first service registry. The system further includes a service manager configured to manage a capability of the system, which is realized through a set of one or more services; connect to the first service registry; receive a notification, from the first service registry, indicating a change in the second list of services included in the second service registry; and initiate deployment of a new service for the capability, or locate a deployed instance of the new service in the system, in response to receiving the notification.

Capability monitoring in a service oriented architecture

A method for facilitating color balance synchronization between a plurality of video cameras within a system of video cameras includes detecting an object in a video sequence captured by a video camera in the system, determining an object color histogram for the detected object, updating a camera specific reference color histogram using the determined object color histogram, and determining one or more camera specific color histogram compensation coefficients by comparing the camera specific reference color histogram with a system reference color histogram. A system for facilitating color balance synchronization between a plurality of video cameras includes a video camera being connectable to a network of video cameras.

Method and system for facilitating color balance synchronization between a plurality of video cameras and for obtaining object tracking between two or more video cameras

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Eslöv, Sweden

Mikael Ranbro