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Stage III – Development of the methods and techniques of the hybrid VLC/IR-RF system – finalized

This activity will be focused on the detailed description of all the components that are part of the VLC/ IR-RF communication system, including development boards, sensors, LEDs and photodiodes.

Activity III.1 – Context analysis for sensors involved in the architecture of the communication system

In this subchapter, there will be provided a brief description of the VLC/ IR-RF hybrid communication architecture, whose primary purpose was detailed in the previous stage of the project, along with a complete set of sensors that were implemented within the laboratory test bench,

Activity III.2 – Development of the communication solution for low power devices

Within this activity, the attention will be focused on the technical presentation of the current test bench along with the results that were observed during the experiments. Moreover, to achieve the proposed goal and to obtain the most accurate results, professional measurement tools were chosen to analyze the performance of the VLC / IR-RF hybrid communication system. In this case, the information coming from the sensing modules was carried via the VLC communication protocols.

Activity III.3 – Methods for data processing

This activity will be focused on how to export the data coming from the VLC components that were presented in the previous activity. Therefore, three popular scenarios will be analyzed as follows:
-MQTT Client – Grafana – Arduino;
-LabVIEW Client – Arduino;
-Arduino Client – Firebase – Android.

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Stage II – The VLC/IR-RF system definition – finalized

Activity II.1 – Use cases

Activity II.2 – The hybrid communication system design for small and medium enterprises

This activity aims to describe the primary use cases of the VLC technology. There will be studied in detail the main events that were performed in this field. In the end, the best optical communication systems will be described. Moreover, this stage aims to describe de used case proposed by BEIA Consult International which focuses on the introduction on the market of a new hybrid communication system.

 

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MINC

A Novel Multi-Industrial Nano Control Unit based on Thermal Imaging that aims to develop a novel type uncooled of low-cost thermal vision camera sensor and offer it to the consumer and automotive markets.

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Thermography sensor for ambient assisted living

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 behaviour. 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. The identification of any changes in activities of daily living (ADLs) might be an indicator of cognitive or physical decline. There are motion tracking sensor systems to recognise human activity and vital signs for research purposes but there are not robust commercial products in the market that combine both functionalities with a unique sensor. The most mature market is motion detection, dominated by a few cutting-edge enterprises of advanced countries whose technology and know-how is based on mass-volume industrial sector and don’t focus in a specific application (Ambient assisted Living) and therefore have less effectiveness in the problem to solve. The thermography technology can provide different applications in a precise way by using only one sensor which gives it a competitive advantage. This proposal will enable combining the knowledge and expertise of Sensing & Control, NNFC and Vu:t in order to develop an infrastructure for delivering healthcare services that combines open IoT platforms and successful commercial IoT solutions. Sensing & Control Systems S.L. has developed an IoT Smart Home Platform which enables our life to be safer, easier, more comfortable, and energy efficient through the use of a wireless sensor network and a control unit for reducing energy cost. The project aims at four important milestones. The 1st one is to integrate NNFC’s uncooled type of microbolometer array thermography sensor technology into Sensing & Control’s Smart Home platform in order to notify motion tracking data and vital signs at a sudden event to the clinic or caregivers through processed proper algorithm and platform systems with precise sensor performance. With the help of high performance potential of NNFC’s microbolometer technology, it will be possible to increase the sensitivity of the microbolometers and distinction of pulmonary artery. The 2nd milestone is to develop high performance thermography technology by coupling NNFC’s amorphous silicon microbolometer with readout & control circuits for reducing noise, while increasing the sensitivity and resolution, thereby enabling a distinct contrast in thermography. This technology will achieve the very precise detection of vital signs with high performance. The 3rd milestone is to develop algorithms to fit it into a proper input of the Smart Home platform. The main items to be developed are: • motion tracking & recognition algorithms that detect situations that can lead to falls and other hazards, reducing the susceptibility to falls for older people who live in private homes. • algorithms about space, relative positions and poses, and adapting individual users’ preferences The 4th milestone is to develop algorithms based on artificial intelligence in order to detect and alert about potential anomalies and to adapt the home environment automatically. At the beginning of the project, the definition of the requirements and the design of the pilot will be agreed between all partners. The main objective of the pilot is to demonstrate that the solution developed can be deployed within different culture backgrounds.
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CETVIS

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. 
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3DSafeguard

 

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.

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Tel-MONAER

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.
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ESTABLISH

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).

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2nd Workshop of EUREKA Project in Romania

Korean partners NNFC, Crepas and GeneTel attended the 2nd Workshop of EUREKA Project in Romania at BEIA in Bucharest 11-15 September 2018 and visited ICPE-CA.

On the first day of the meeting, there were discussions on the system developed by BEIA Consult. A state of the art analysis of the hybrid system emphasized that due to technical expertise, our company will contribute to the development, testing and successful implementation of large-scale VLC-IR / RF hybrid system communications.

CREPAS made a presentation on entitled “Hybrid VLC/IR-RF Communication for Smart Space Based on Multi-Functional Thermal Image Sensor Module” where they presented an overview of the hybrid communication system based on LED sources and an optical communication channel.

There were some discussions that involved small beacons that can provide information regarding the position.

GeneTel Systems made a presentation called Interworking Specification where a hybrid VLC/IR-RF low sensor node interworking and a network interface.