The analysis service is a Windows system service without its own user interface. All configuration after setup is done through the video management system and through the SiNEO® administrator.

The analysis service communicates with the video server via a TCP / IP interface. For video analysis as well as for processing the image signals for third-party systems, the analysis service requires the video streams from the sources for which analysis algorithms have been defined. For this purpose, the service uses the so-called proxy channels of the video server.

The results of the video analysis are provided to the video servers and are available as events. Furthermore, the analysis service provides video streams with embedded data from the analysis, which can be displayed at the workstations.

The analysis server can be used with all server video sources that provide MJPEG, H.264 and MPEG-4 video streams. Each video channel of the video server can be individually assigned to all algorithms provided in the service. However, the processing of the signal (decoding) takes place only once per video source, ie the streams received by the video server are received once and then distributed to the assigned algorithms.

The analysis server has its own decoder for MJPEG, H.264 and MPEG-4 video streams. To optimize server performance, image sizes and frame rates can be reduced separately for each video source. Furthermore, main frame filters are available for the H.264 and MPEG-4 formats, which only decode the first picture of a GOV (H.264) or GOP (MPEG-4) and thus enable a considerable reduction of the system load.

In addition to the native algorithms, the analysis service SiVMS® video analysis service has interfaces to third-party analysis systems, which are seamlessly integrated into video management. In most cases, these analysis systems access or are already part of the video sources, but can also be supplied via the proxy channels of the video servers with MJPEG, H.264 and MPEG-4 image streams. At these interfaces, the analysis data are forwarded to the video system and in addition a video signal is generated, which is formed from the original stream and the analysis data shown in the image (meta data). The analysis results of the external systems are passed as events to the video management.

The analysis service differentiates between two methods for third-party analysis systems. The first method involves capturing the events of the analysis. Here, the alarms are fed to the video management and trigger directly functions. The second method extends the interface by processing the so-called metadata, which allows localization and determination of the detected objects. For example, with the second method it is possible to dynamically display the objects in site plans or to perform 3-dimensional camera controls.

The support of the respective method depends on the type of data that the third-party analysis system provides via the interfaces.

SiVMS® Algorithm:

• SiVMS Motion Detection (free)
• SiVMS Tampering Detection (free)
• SiVMS Smoke Detection
• SiVMS Removed and Left Item Detection
• SiVMS License Plate Recognition
• SiVMS License Plate Recognition Pro
• SiVMS Object Tracking
• SiVMS Hot Spot Detection

SiVMS® 3rd Party algorithm:

• Bosch IVA Video Analytics
• iOmmniscient Video Analytics
• IPS Video Analytics Server
• IPS Intrusion Detection AXIS
• AXIS Crossline Detection
• Siemens Site IQ
• Siemens SiCore LPR
• NAVTECH Radar
• SICK Laser

The Motion Detection (Motion Detection) algorithm is used to detect changes in image content. For this purpose, the current picture is compared with a previously stored picture and an alarm is triggered when a threshold value is reached. The threshold is defined as a percentage image change within an adjustable image zone.

Like all other video analysis algorithms of the SiVMS video analysis service, the motion detection algorithm can be integrated into a timetable and therefore limited to specific time periods within a weekly schedule. Likewise, the image areas to be detected can be restricted.

The analysis result indicates the areas of the detected movement by image contents marked in red. Furthermore, the percentage image change as well as the trigger threshold is shown.

The Smoke Detection (Smoke Detection) is used to detect the occurrence of smoke in defined image areas. The algorithm is based on a measurement of the standard deviation, e. g. on a loss of contrasts. The analysis should refer to non-moving image areas with as strong edges as possible in order to achieve a high detection rate.

Like all other video analysis algorithms of the SiVMS video analysis service, the smoke detection algorithm can be integrated into a timetable and thus limited to specific time periods within a weekly schedule. Likewise, the image areas to be detected for the noise level measurement can be limited.

The analysis result displays the red marked detection areas. In the lower part of the screen, the measured values for the image brightness and the smoke level with the trigger limit are displayed.

The analysis algorithm “SiVMS License Plate Recognition” is used to recognize license plates and to process them by, for example, matching the identified license plate with a list (Whitelist). If the indicator is found in the list, the route is approved by opening a barrier.

This algorithm is used to capture moving objects and track them until they have left the video image area again. Each object is individually registered, placed into a frame, numbered and tracked independently of the other objects. Optionally, the omitted distance of each object can be represented as a line.

IPS Intrusion Detection is an intelligent video analysis for real-time alarms when entering protected areas. The analysis is designed as an add-on module for certain AXIS cameras and encoders and runs directly on these systems. The analysis service offers an embedding of this module into the video management and an analysis of the analysis results. In addition to the alarm status, the algorithm also provides object positions, which can be used for automatic PTZ traces and position map settings via the command versions of the VMS.

Like all other video analysis algorithms in the SiVMS video analysis service, IPS Intrusion Detection (AXIS) can be integrated into a timetable and therefore limited to specific time periods within a weekly schedule. Likewise, the image areas to be detected can be restricted.

The iOmniscient video analysis is a server-based software with a variety of algorithms for detection in indoor and outdoor areas. The analysis service offers an embedding of this software into the video management and an analysis of the analysis results. In addition to the alarm status, the algorithm also provides object positions, which can be used for automatic PTZ traces and position map settings via the command versions of the VMS.

Like all other video analysis algorithms in the SiVMS video analysis service, iOmniscient video analysis can be integrated into a timetable and therefore limited to specific time periods within a weekly schedule. Likewise, the image areas to be detected can be restricted.

The analysis algorithm “Bosch IVA” is designed as an additional module for certain Bosch cameras and is executed directly on these systems. It serves to capture moving objects and track them until they have left the video image area again. Each object is individually registered, placed into a frame, numbered and tracked independently of the other objects. This information is forwarded as metadata to the interface of the SiVMS and can then be processed. Optionally, the omitted distance of each object can be represented as a line.

Like all other video analysis algorithms in the SiVMS video analysis service, Siemens SiteIQ Analytics can be integrated into a timetable and therefore limited to specific time periods within a weekly schedule. Likewise, the image areas to be detected can be restricted.