Cost effective thermal and visible imaging for security and surveillance

The main objective of the team project is to gain an effective approach for different healthcare applications by combining smart home technology with healthcare technology based on thermography capable of monitoring vital signs and activities of daily living (adl)

The main objective is to gain an effective approach for different healthcare applications by combining smart home technology with healthcare technology based on thermography. The thermography is a free-contact technology that can detect emergency situations such falls and provide continuous monitoring of the elderly’s health status through the monitoring of vital signs (breathing, heart rate), activities of daily living (ADL) and detection of emergency situations (falls).
The smart home sensors will be used to represent many different types of context information. These sensors together with thermography imaging will be used to find patterns in data that do not conform to the expected behavior. In this context, anomaly detection will be used for detecting anomalies in daily activities and indoor location will provide fine-grained location-based services to the elderly. 



Currently, First Responders coordination and decision making during the rescue, firefighting or police operations are performed via radio/GSM channels with some support of video streaming. In unknown premises, officers have no global situational awareness on operation status, which reduces coordination efficiency and increases decision-making mistakes.

3DSafeguard proposes a solution enabling the situational awareness by introducing an integrated operation workflow, which deploys the following technological innovations:

(a) multi-modal heat, depth, toxicity, acoustic and video sensors mounted on acting officers or UAVs,

(b) sensor data fusion, resulting in reconstructed 3D map of unknown premises as actors propagate though and in tracking of the actor positions;

(c) situational analysis and decision support providing automated guidance and alerts to the officers,

and (d) multi-layered visualization of the sensors, analysis- and 3D-map data onto coordinator displays and onto HMD displays of acting officers.

In this workflow, data processing and transmission will be supported by a dynamic network and storage infrastructure. The solution will provide global situational awareness to both coordinators and actors, thereby increasing the efficiency of coordination, reducing mistakes in decision making and diminishing risks of unexpected situations to appear.

This will result in faster operation progress, the decrease of human casualties and financial losses and, the most important, saved human lives in calamity situations. The project is supported by 14 end-users of various nature: public authorities; fire, police and rescue departments; public safety associations, and private security companies operating worldwide.


Beia presents a new project: Tel-MONAER (Mobile System for Tele-Monitoring Air Quality)

The goal of this project is to develop an IT system using the Internet of Things and Edge / Cloud Computing technologies to monitor and analyze in real time the risk factors for the environment and public health. Tel-MONAER will provide a mobile, extensible and scalable system capable of simultaneously monitoring parameters such as SO2, NOx, CO, O3, PM10, PM2.5, meteorological parameters (wind direction and speed, pressure, temperature, solar radiation, relative humidity, precipitation).

The main expected results are:

  • The development of a monitoring solution (including mobile equipment and Edge / Cloud software in Docker technology) of air quality, from varied sensors (simultaneous measurements of SO2, NOx, CO, O3, PM, meteorological parameters, etc.)
  • Developing a platform for the collection, storage and aggregate processing of air quality monitoring data in Edge / Cloud technology. The platform will offer extensibility by adopting an architecture based on micro-virtualization of collection and processing services. In addition, Big Data processing algorithms will be implemented to provide alerts for critical situations, statistics, and analyzes of changing weather conditions and air quality.
  • Development of a real-time viewing component in Web technology and on mobile platforms of sensor data collected and platform processing. All processing results will be available to users in a quick and user-friendly manner and the viewing component can be easily customized for each user.
  • Increasing the degree of insertion of research results from the academy into the industry through the development of analytical methodologies as well as test pilots in at least two beneficiaries with different requirements to test the operation of the solution in different relevant configurations.


ESTABLISH – Environmental Sensing To Act for a Better quality of LIfe: Smart Health

Sensors are becoming abundant in our environment and have a huge potential for application in tailored, specific and even individualized services to improve the quality of life. However, smart adaptive services based on IoT technologies are still in their infancy, rendering their full potential untapped.

The objective of ESTABLISH is to convert environmental (sensor) data into actionable information for users to provide a healthier and safer environment thereby improving the quality of life. Smart adaptive services providing real-time feedback tailored to specific user and application needs will be developed by combining networked sensors and other data sources with adaptive models in a non-predefined manner. In this way, ESTABLISH closes the complete chain from the sensor to an application: collecting, enriching, interpretation, extrapolation, and feedback.

The main application scope of ESTABLISH is products, services, and solutions on an individual level utilizing environmental sensors (air quality, temperature) and combining the environmental input with other data sources, for example, personal wearable sensors, weather conditions etc. ESTABLISH will enable to go from monitoring the indoor and outdoor environment and traffic to managing the environmental conditions on a personal level and thus improving the quality of life, reducing health costs and supporting vulnerable groups such as the elderly or patients. In addition, the environmental conditions can be managed geographically, e.g. on a district or city level, by aggregating the personal data.

The technological developments in ESTABLISH will lead to a wide range of new services and products that are all based on environmental sensors like an Optimized city and mobility planning, Developing smart HVAC systems that ensure a healthy indoor environment and Promoting independence of specific vulnerable groups. Thus ESTABLISH will create business opportunities for sensor manufacturers, service providers, software developers, health organizations, health insurance companies and HVAC manufacturers.

The main technological outcomes and major innovation of the ESTABLISH project will be

  • Development of reliable alignment and deployment methods for self-awareness and self-adaptability tuned to the specifics of the sensor data collection domain, which relies on low-bandwidth networks of distributed and energy-constrained devices.
  • The true application of prescriptive analytics – ESTABLISH demonstrators will collect extensive data from various sources including historical data.
  • The design of data formats and protocols applicable to cloud management that will support information flow from highly heterogeneous types of sensors and that will enable the creation of a data platform for sharing all relevant (sensor) data.
  • Meta-models will be defined that take sensors into account in the modeling of the Business Processes. Those models will be transformed into SaaS applications.

A multifaceted project like ESTABLISH needs a well-balanced consortium. The ESTABLISH consortium consists of partners from 9 countries. The consortium covers all the technical competencies to implement the proposal and also contains partners that ensure that the targeted market impact will be generated. The consortium is well-balanced with respect to industry (both SMEs and LEs) and knowledge institutes (RTOs and Universities).