About DYVINE

The DYVINE project focuses on both :

• The integration of thousands of video sensors, fixed or mobile, in situ or airborne, and the development of exploitation applications for area monitoring to support the Risk Management cycle
  and
• The associated resilient communication solutions to support the system. Testing will be performed in urban environment with the integration of the city camera networks through Rescue scenarios. DYVINE outputs will include laws/regulations study and standards analyses to propose future orientations for this type of systems.

DYVINE objective is to design, develop and test a representative version of a surveillance network based on visual sensors (images and video, in situ or airborne) which can be configured as a function of the requirements and events. This network can be used to monitor any kind of area or infrastructure which can be threatened by natural of industrial disasters. The scientific and technological objectives of DYVINE are to:

1. Design a generic architecture encompassing a vast array of various types of visual sensors, fixed and mobile, ground-based and airborne. This architecture will propose system standards and sensors interfaces standards. This architecture will be validated during the trials by demonstrating that it is possible to integrate 1000 cameras,
2. Propose advanced solutions for the (re)configuration of the surveillance network as a function of the events. These solutions will be demonstrated during the trials with the progressive integration of additional fixed and mobile cameras,
3. Study the communication means as well as develop new processing capabilities and networks necessary to integrate the largest possible forest of sensors. The result of the project will be robust wireless communications solutions enabling the dynamic integration of the sensors and compression/optimisation solutions to make the best of the available bandwidths,
4. Study the exploitation applications and fusion/correlation algorithms to provide the operators with the most comprehensive synthetic situation picture. The result of this objective will be advanced software module enabling the fusion of (overlapping) video data, the correlation of heterogeneous information and the tracking of persons or objects in a large area. The resulting test-bed will be demonstrated in the frame of a surveillance/disaster mitigation scenario in an urban environment. It will demonstrate real advances in Surveillance capabilities illustrating how the end-users (Civil Protection, cities, police, etc.) can have a global situation awareness with a large coverage and still detailed view.