foxstream intrusion detection

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Foxstream, which is designed for outdoor surveillance of the approaches to a building or the perimeter of a site, provides an intelligent video analysis system, ca- pable of detecting any types of intrusion whilst elimi- nating false alarms. FoxVigi intrusion detection system consists of seve- ral key steps within the system: Detection of all moving objects in the field of view of the camera. Filtering & classification (real objects as opposed to oversized and immaterial objects: shadow on the ground, reflections, etc.). Alarms feedback to the operator. These steps may then be completed in various ways, depending on the needs of the customer: crossing a line, crossing a zone, detection of extended presence, etc. Fox Vigi Intrusion detection FoxVigi intrusion detection solution, which is one of the core developments of Foxstream, is the result of many years of research and collaboration with the laboratories of the CNRS and field experiences from more than 500 sites. These developments now enable Foxstream to meet with the requirements of the most important worlwide market players.

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Foxstream, which is designed for outdoor surveillance of the approaches to a building or the perimeter of a site, provides an intelligent video analysis system, ca-pable of detecting any types of intrusion whilst elimi-nating false alarms.

FoxVigi intrusion detection system consists of seve-ral key steps within the system:

Detection of all moving objects in the field of view of the camera.

Filtering & classification (real objects as opposed to oversized and immaterial objects: shadow on the ground, reflections, etc.).

Alarms feedback to the operator.

These steps may then be completed in various ways, depending on the needs of the customer: crossing a line, crossing a zone, detection of extended presence, etc.

FoxVigi Intrusion detectionFoxVigi intrusion detection solution, which is one of the core developments of Foxstream, is the result of many years of research and collaboration with the laboratories of the CNRS and field experiences from more than 500 sites. These developments now enable Foxstream to meet with the requirements of the most important worlwide market players.

In relation to other detectors

The perimeter protection market offers many different solutions: infrared barriers, cables on fences, hyper-frequency barriers, buried cables, etc. In general, their deployment involves a long list of contraindications. There are also limitations in the configuration of such solutions: some may not classify the objects detected (or very little) and it is virtually impossible to measure their miss ratio.

Eliminating doubt is not possible with these detectors: the operator cannot make a distinction between real events and the false alarms inherent in all perimeter detection systems.

FoxVigi: the advantages In relation to other competitor software on the market

In relation to simple motion detection

There are many types of equipment providing "em-bedded intelligence" as standard or on option are avai-lable (DVR, NVR, cameras...).

This term is often used incorrectly and simple motion detection algorithms are generally found which, in cer-tain cases work well with indoor environments but which cannot be used outdoor or on a large scale. Indeed, the number of false alarms increases considerably and the system quickly becomes uncontrollable and no longer performs its function to support the surveillance of the operator or remote monitoring station.

BASIC SOFTWARE "3D" SOFTWARECONVENTIONAL

FOXVIGI SOLUTION

FOXVIGI PLUG'N PLAY SOLUTION

(based on version 3.15)

Principe Motion detectionSolution which recreates a 3D perspective

Artificial intelligenceEnhanced artificial intelligence

Detection Detection of groups of pixels

Selection of moving objects according to size and position in the image

Detection of moving objects in the scene

Selection of moving objects according to size and position in the image

Distinction between real objects and noise

Depending on perspective

Depending on classification

Depending on perspec-tive, classification and filtering

Filtering

The manager himself may classify objects, both real objects and noise, to be entered to the software

Unique, personal classification closest to requirements (optional)

OptionsFine adjustment by learning of objects and/or specific alarms

Results Many false alarmsSmall number of false alarms

Small number of false alarms

Very small number of false alarms

ContraintsCameras must be installed at specific heights

Preliminary classifica-tion of objects by the administrator

None

NEW

Video analysis by comparison, which is subject to fewer constraints for installation eliminates doubts and triggers events only for certain types of objects.

FoxVigi filters false alarms and also provides for the possibility of checking the relevance of the events returned to fine tune the configuration of the system.

FoxVigi: adds-on

Detection of lines crossing, zones and trajectory monitoring

By default, FoxVigi uses one or more area (configurable at will by the user) for intrusion detection. For certain specific utilisations, it is therefore possible to select the line crossing or the zone crossing option, depending on the requirements of the customer. The event feedback may also depends on the direction (or trajectory) of the object.

Loitering

Loitering detection is derived from intrusion detection. It is possible to trigger to a “loitering” event when an object is detected and monitored for a period of time defined by the user, in a defined zone.

This solution is often used in car parks, lobbies of buil-dings, etc.

Detection by third party sensors

This is a special case of detection analysis with lear-ning. With a standard application, all elements detected in the image are analysed then classified. But it is also possible to monitor this step by making it dependent on an external event. If the analysis of the image is cou-pled to an external detector (infrared, hyperfrequency, audio, thermal, etc.), decision can be made to analyse only the images of objects detected simultaneously by the analysis and the external detector, since much of the noise is eliminated.

A prerequisite: FoxTool

The software FoxTool was developed to generate, on the basis of a ground plan, the prerequisites for the locations of cameras. They take into account the height of the camera, its inclination, the focal length and the areas on the ground that FoxVigi is capable of analy-sing. Indeed, for the system to be able to classify the different objects in the scene, they must have an area of approximately 250 pixels (the system detects all intru-sions at lower resolutions but classification requires an adequate number of pixels).

FoxTool therefore represents a useful, additional ser-vice in relation to other systems, since it ensures the effectiveness and the accuracy of the analysis system once it is deployed.

Embedded solutions

Thanks to technological progress over the last few years, certain manufacturers are now offering real computing power devoted to video analysis in their cameras or DVR, to meet with the requirements of the market. This is particularly true of the latest models of Axis.

Therefore, not only "light" systems such as counting or Fox’n Go (detection of open desks) may be integrated but also, more recently, more "complex" systems and, particularly, intrusion detection systems, thanks to the new ARTPEC4 processor, which provides more power and supports more complex algorithms.

Foxstream offers embedded versions of its intrusion detection systems, FoxIntruder and FoxIntruderTH (for thermal cameras), in collaboration with Axis: Foxstream is a member of the ADP – Axis Development Partner program.

Other cameras are also fitted with analysis modules developed by Foxstream and, in particular, IP thermal cameras from Sorhea.

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FOXSTREAM 6 rue du Dauphiné Parc d'activité La Poudrette-Lamartine - 69120 Vaulx-en-Velin-FRANCETél: +33 (0)4 27 11 80 30 • [email protected] • www.foxstream.fr

The ecosystem

Thermal cameras

For perimeter protection, there is now real enthusiasm for thermal cameras. Video analysis is all the more appropriate with this type of images which generally have real contrast between the individuals observed and the background, thereby facilitating segmentation within the scene. Thermal imaging (infrared spectrum) is used to filter almost all light-related problems found with conventional cameras (sudden change of expo-sure, reflections of various objects, etc.).

Nevertheless, in technical terms, it should be noted that thermal cameras do not see further than conventional cameras. However, since most environmental noise is filtered out by thermal imaging, it is possible with video analysis, to detect smaller objects, since the threshold for the filtering of background noise is lower.

Thermal cameras are also less sensitive to climatic conditions (fog, rain), which are a real handicap for conventional cameras over long distances.

They do not therefore detect objects at the same tempe-rature as the background, such as cars on a car park in winter, nor can it see through dense vegetation.

The prerequisites for the positioning of thermal came-ras remain the same as for conventional cameras (only the size of the object in terms of pixels is reduced; see FoxTool).

The main disadvantage of thermal cameras remains the fact that they cannot be used to identify individuals.

Acquisition system

• IP camera• Video encoder, acquisi-tion card• Thermal camera• AVI film

Events feedback

• FoxWebPlayer (remote connection solution)• Remote monitoring video surveil-lance software(V1, ESI)• Transmission of alarms sequences on FTP• E-mail• Alarm unit (by relay output)

Recording & VMS

• Supervision Software / Hyper-vision Genetec, Milestone, GE Security, Thalès.

FoxVigi

Quick and easy installation and configuration.

Number of false alarms virtually nil.

Detailed, automa-tic classification of objects.

Configurable with add-ons for a tailored solution

Available as embedded solution.

Compatible with ther-mal cameras.

Supplied with our free software FoxTool for identification of the optimum location of cameras.

In brief