Control room operators and crisis teams are swamped with data. The only way for them to process the streams of information is with the help of intelligent systems that perform a strict selection: only when video, audio, temperature or another circumstance deviate from what’s normal an alert will be shown. This is efficient and effective. At the same time it is wasteful to discard all other data. BeWare uses all available data and combines is intelligently to establish a dynamic threat level. A computer system continuously analyzes and combines all data and looks for correlations to map out all possible risks. This makes it possible to create a complete and consistent set of security measures, to really control risks and to prevent crime and calamities or at least limit the consequences.
BeWare is not a dream for the future; it is already being used in the International Zone in The Hague. The Municipality has, recognizing its potential now and in the future, opted to apply the BeWare concept. The world’s justice capital is aware of the fact, especially at such a high-risk location that is in the spotlights almost on a daily basis, risks and threats change all the time. In BeWare they found a system that allows them to manage safety and security using innovative solutions.
Apart from the city of The Hague Beware is also deployed at Rotterdam the Hague Airport.
Technology in BeWare
Knowledge of sensor technologies and application of innovative sensor technologies is of great importance to the Dutch security sector and can, when combined intelligently with other technologies, lead to more security. It is possible, for example, to link sensors with intelligent data analysis software to 3D virtual reality software.
This unique combination of innovative sensors and a virtual environment and intelligent (self-learning) models allows for the combination of historic data and real-time sensor information to determine a dynamic threat level for various objects. This knowledge can subsequently be presented in a 3D virtual environment to make better risk management, efficient training and effective mitigation in case of calamities, possible.
Design and risk management
The basis of all security is a clear identification of the risks and a well-designed set of measures to counter these risks. BeWare is without a doubt the most powerful tool available for this. Using its design module the user is able to virtually place all types of sensors in a 3D environment and immediately see what the functional result is. The effect on the risk profile is also immediately visible. Truly unique is the capability to see the change in operational cost that results from a change is the risk level. This makes BeWare a unique tool for the planning process and prevents deployment of unnecessary security systems, of incorrect systems and incorrect use of for example sensors and cameras.
Determining the physical entities, parameters and indicators is done using sensors. Human sensors are the eyes, ears nose, skin and mouth. Our brain analyzes the information our sensory organs obtain. Sensors are the ‘sensory organs’ used to ‘record’ quantities. Every measurement and the value resulting from it happens via a sensor. Measured quantities enable data analysis.
In the BeWare project various smart sensors are used:
3D cameras that record, in addition to the usual image (consisting of the light intensity an/or colors of pixels) the distance to objects. Chess’ stereo camera is a 3D camera based on stereo matching. Two camera’s record the same scene. When the distance between the to camera and their characteristic are known the distance to a recorded object can be calculated. This is done by matching every pixel in one camera image to a pixel in the other camera’s image.
Wireless real-time location of tags (tickets, key rings) that can be attached to objects of people. The Locator system by Repoint measures the distance between the tags and detectors placed in the environment. This is done using special receivers in the detectors that measure the signals transmitted by the tags. The data from the detectors is combined by a controller that uses it to determine the position of individual tags.
Video Object Analysis: using Observision’s XTRACT™ processor BeWare is able to identify objects and events in real time in video feeds. This used for virtual fencing and zoning, close up object tracking, automatic number plate recognition en vehicle/people counting.
In BeWare trials will be conducted with acoustic analysis and classification of vehicles. Using spectral analysis of recorded audio signals so called acoustic fingerprints will be created.
BeWare is a system that is built using a highly realistic 3D virtualization of the area or building that is to be secured. Changes can be implemented quickly with BeWare detecting any resulting changes to the security profile. The advantages of the 3D virtualization manifest themselves already during the implementation phase. BeWare uses the E-Semble’s XVR simulation platform.
The 3D virtualization of BeWare results in a high-degree of situational awareness. Data from alarm systems and sensors can projected in the virtual reality. Security staff and crisis teams no longer have to rely on two-dimensional maps. Instead, they can see and use all environmental factors when assessing the threat level and when planning mitigation steps. In case of a calamity, emergency response teams who are often unfamiliar with the local situation, can determine much more accurately what actions are needed and how to best approach the disaster area.
Following data analysis the system clearly shows the blind spots in the security plan and generates advises on how to reduce risks, using the XVR modeling module. This does not necessarily imply adding security measures. Often a rearrangement of existing infrastructure or adjusting of procedures is sufficient. The customer himself can determine what risk level is acceptable, how it can be achieved and what investments are needed. He is therefore able to do an excellent cost-benefit analysis. Security staff and crisis teams know what the risk level is for an area and know what to expect in case of a calamity.
Analysis and modeling
The heart of BeWare is a powerful system made by DySI that is capable of processing data from a variety of systems, sensors and databases and enrich it using state-of-the-art analysis and modeling techniques. The system reads and combines data form, for example, alarm panels, gateways and security cameras but also from public sources like traffic control services, meteorological data and internet data sources. Even confidential databases, like police registers, can be linked to the system provided the BeWare user is allowed access to these sources.
The computer combines all data, exposes patterns through complex multi-dimensional analysis and creates self-learning models. By comparing the continuously streaming input data with established patterns and model deviations can be detected.Such deviations result in adjustment of the risk profile and form the basis for alerts. The system is self-learning which ensures optimal quality of the alerts and advices. But BeWare does more: it continuously advices on how to improve security measures. BeWare is a dynamic concept that continuously adjusts to changing environmental factors and preemptively signals, tries to control, exclude and thus prevent new risks.
Unique to BeWare is the fact that the 3D environment can be used to practice and train too. Almost every conceivable calamity can be simulated in the computer without incurring many costs and without interrupting production processes. Noteworthy is that BeWare is self-learning. The system registers people’s reactions during practice and determines the consequences. This then results in an advice on how to optimize security or in an adjustment of the models the computer system uses to detect and control calamities. Training is not limited to security staff: multi-disciplinary exercises can be held with for example the police, the fire brigade and other emergency response teams.