In August 2021, Order INT/316/2011 will enter into force, which establishes a series of standars to regulate the technical characteristics of the elements that make up the intrusion and burglary alarm systems (I&HAS). It estabishes four degrees of security.
Grade 4, considered high risk, reserved for so-called critical infrastructures, must be fulfilled by all components of a grade 4 alarm system. There are Grade 4 control units, but htere are no Grade 4 sensors on the market.
The Intrusion-G4 project seeks new technologies to overcome the challenge of increasing the degree of security of the intrusion detection sensros currently available on the market. For this, PIR/microwave technological redundancy, electronic smart systems and visual computing will be used.
- Expand knowledge of the critical infrastructure intrusion ecosystem.
- Obtain an operational prototype of a sensor for intrusion detection that improves the performance of the equipment available on the market, and that meets the characteristics to be a Grade 4 intrusion detector sensor.
- Merge the Grade 4 intrusion sensor with the Grade 4+ switchboard.
- Develop Machine Learning techniques based on machine learning to improve the detection of intrusion and sabotage of detection systems.
- Analysis of vulnerabilities in the security and resilience of critical infrastructures.
- Design and development of an intelligent G4 intrusion sensor based on optical technologies.
- Integral fusion of switchboard and grade 4 intrusion sensor.
- Demonstrator in real environment of the solution.
- Vulnerabilities in the security and the resilience of critical infrastructures and new models of technological crime in intrusion G4.
- Smart Grade 4 intrsuion sensor prototype.
- G4 intrusion ecosystem, which integrates control unit and intrusion sensor.
- Demonstration of the comprehensive solution ina real environment.
Industrial Solutions Projects:
“Intelligent Visual Computing for products/processes in the agri-food sector” is an industrial research project framed in the field of computer vision (digital enabler of Industry 4.0) associated with the agrifood sector.
The TRREX project (Extended Range Robot Enabling Technologies for the Flexible Factory) investigates and develops technologies that contribute to the deployment of mobile industrial robots for the factories of the future. These systems will increase the flexibility of the plants and allow the optimization of industrial processes, improving their productivity.
NUMASTA allows the development of a new generation of FRP sandwich panels for its application in the wastewater treatment sector. The distinguishing characteristic is presented in its core, based on a polyurethane foam, manufactured using formulations designed “à la carte” through a manufacturing process in a single stage where the curing process of the leathers and the foaming of the core take place in a synchronous
i-Visart, “New artificial vision methodologies for the visual inspection of highly reflective and textured surfaces”.
It is an industrial research project framed in the field of computer vision (digital enabler of industry 4.0) associated with the industrial sector.
CARTIF, has designed and developed a new module based on AR for smart glasses based on the recognition of QR markers to launch the experiences of AR, particularized for three technological pilots: Risk identification, Management of machine maintenance and Machine status monitoring
A new intelligent system has been developed for manual assembly positions in the industry. This system aims to minimize assembly errors by operators by validating operations, providing information and guiding the operator in real time through a man-machine interface based on Augmented Reality
Nowadays in hot and cold lamination of “long” elements only the detection of punctual defects are made, not longitudinal defects. Therefore, the technological leap and the differentiating key of future products is to detect both, punctual and longitudinal defects on the production of flat steel in the rolling process, either the cold or hot process.
MARCA provides the maintenance operator with tools that facilitate access to content, communications and technologies necessary for the guidance, support and registration of maintenance work. It is based on technologies of augmented reality, mobility and communication, as well as a knowledge base for incident management.
INCEPTION develops new methods and tools for automated 3D modelling and analysis of European cultural assets proposing advancements on hardware and software, as well as new approaches for Cultural Heritage 3D data inclusive access and exploitation by means of the so called INCEPTION-Platform.
The aim of MODINTECO project is to develop prototypes of Automatic Tool Changers for milling machines, modular and adaptable, intelligent and autonomous, universal..
The purpose of the CALYPSO project is that the inspection process can be enriched by automatic pattern recognition techniques.