PRESLEEP

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Company info:

Name: Sleep Advice Technologies S.r.l.
Date founded: 2018
Number of employees: 4
Location: Corso Vinzaglio 12 bis
10121 Torino (TO) Italy

http://www.satechnology.eu/

Partners:

Innovation Management Partner:

PRESLEEP “A wearable CPS for the automatic detection and prediction of the awake, drowsiness and sleeping stages”

Challenge

Sleep medicine is a medical specialty focused on the analysis, diagnosis and therapy of sleep disturbances and disorders and, more generally, about awake-drowsiness-sleep functioning. A very innovative approach focused on the early detection of drowsiness and, more generally, about fatigue and tiredness, has been developed by Sleep Advice Technologies (SAT).

Solution

The methodology is based on the non-invasive real-time measurement of a reduced set of physiological parameters, thus supporting the automatic detection and prediction of awake, drowsiness and sleeping stages through modern Artificial Intelligence techniques.

The real time detection and prediction algorithm has been implemented into a wearable CPS prototype featuring a rich set of communication channels as well as GPS functionality. A very important aspect of the project is related to the capability of the proposed methodology/technology to detect additional high level emotional stages of the drivers (e.g. stress, anxiety, etc..) which can support the development of advanced control strategies for automated vehicle at AVL.

FED4SAE Support

The implemented system integration Application Experiment, run in tight cooperation with AVL, accelerates the development process toward the most effective technological transfer into a successful mass market product.

The “System integration Application Experiment” covers HW/SW integration and access enablement to both the Integrated and Open Development Platform (AVL) and the complementary skills from the competence centre (AVL).

The outcome of PRESLEEP project is an integrated CPS prototype demonstrator verified and validated in realistic conditions at AVL.

Impact

A wearable CPS based on a flexible and modular architecture has been successfully developed, bridging health and transportation domains by fully developing an exclusive methodology and the related CPS technology that can be successfully applied in a wide range of applications in the respective domains. Through the support of AVL, this system integration focused on the fine assessment and validation of the proposed methodology/technology in a realistic automotive environment.

The societal impact is expected to be very relevant as SAT product aims at drastically improve the quality of life by reducing the amount of risky situations due to loss of control of the subject while performing an action.

RATE

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Company info:

Name: Link Software Date founded: 2002 Number of employees: 15 Location: Elgazala Technopark, Ariana, Tunisia Software engineering, consultancy and development company operating in various fields of information technology. http://www.linkconet.com

Partners:

Innovation Management Partner:

Runtime Architect – RATE

Challenge

Electronic systems with real-time performance constraints are found in many different application domains such as space, automotive, railway, aerospace, medical monitoring and imaging, industrial process control, robotics, etc.

A common trend amongst all these systems is the significant quantitative and qualitative increase of the functions to be implemented in order to respond to the growing needs for connectivity, automation, autonomy, security, etc. Among the different activities related to the development of real-time systems, Performance Engineering is one of the most challenged by this trend.

One of the major challenges today in the Performance Engineering of real-time systems is the integration of design models and runtime aspects. The timing behavior at runtime has to be matched with the design in order to identify the timing failures in design and deviations from the real-time requirements.

Solution

RATE will allow the architect performing a continuous system performance engineering cycle between design and runtime, thus ensuring the quality of the running real-time system while reducing the design and development efforts and costs, and getting valuable feedback that can be used to boost the productivity and provide lessons-learnt for future generations of the product

The following objectives will be fulfilled:

  1. Verify if timing requirements are met in the system execution (CPU) or communication (network/bus) and identify potential timing bottlenecks.
  2. Help the architect understanding the system timing behaviour based on numerical and graphical statistics for the system execution/communication.
  3. Perform consistency check between runtime and models to validate timing related assumptions taken at the design phase.
  4. Help the architect correcting timing errors and exploring design alternatives at the design phase based on the system runtime behaviour before investing time and efforts in implementing and testing.

FED4SAE Support

RATE has integrated theTime4Sys technology provided by THALES. By relying on the Time4Sys design model and the Time4Sys trace model, RATE then automatically benefits from current and future connections to Time4Sys of the various existing model-driven performance engineering tools such as design tools, scheduling analysis and simulation tools as well as tracing tools all at once. This guarantees high flexibility and add a valuable agnostic character to RATE by making it possible to easily integrate it in any runtime, design and any scheduling verification environment.

Impact

Runtime Architect gives to the architect access to knowledge on the system timing behavior based on the processing of runtime traces, thus allowing him to easily perform correction during validation and before delivery. Runtime Architect will allow reducing the design efforts (~15% gain estimated) while improving development efficiency as well as validation speed (~30% faster timing validation).

Through the integration of the Time4Sys technology, it becomes easy to use Runtime Architect in any runtime, design and timing verification environment, thus offering to our customer a seamlessly integrated solution that will deliver a full, round-trip support for runtime traces analysis, design modelling and timing verification.
Performance engineers have then the capability to rapidly integrate runtime aspects collected from traces into their design models. They can start from runtime traces and then change the system configuration virtually to easily predict the performance impact of modified timing properties of tasks, schedulers or hardware. Runtime Architect enables performance engineers to quickly iterate their designs as many times as they want, for both new developments and evolutionary extension and optimization of existing systems.

RobRad

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Company info:

Name: ASINCO GmbH
Date founded: 2012
Number of employees: 25
Location: Duisburg, Germany

www.asinco.de
www.radarmesstechnik.de

Partners:

Innovation Management Partner:

Robustification of radar sensors for application in harsh industrial environments

Challenge

Due to the adverse environmental conditions in metal production, essential measurement technologies, e.g. optical and laser-based, reach their physical limits in various fields of application. Thus, observation of relevant process parameters stays fragmented over the whole process-chain.Radar-based measurement is insensitive to the adverse conditions (e.g. high temperature, dust, air humidity, mist from rolling emulsion or oil) and recording necessary measurement variables with sufficient precision. Due to advancement in innovative signal processing algorithms this is achieved without any discernible disadvantages compared to existing measurement technologies.

Solution

For improving the technological readiness level, well-structured and competently performed experiments and functionality tests are of core importance. Within the metal industry environmental conditions as high temperatures, dust, varying humidity and corrosive gases typically occur within the areas where sensors are located. This hinders many common sensors (optical, laser-based) from reaching their specified functionality.

The objectives within the application experiments in this project can be summarized as follows:

  • Testing and improving sensor performance in terms of real-time capabilities for digital signal processing (sampling time: up to 1 kHz)
  • Testing and improving sensor protection (housing) against harsh environment conditions with long-term continuous load tests against corrosive gases
  • Testing and improving sensor protection (electronic) against harsh environment conditions with long-term continuous load tests with temperatures up to 100°C and variable humidity

FED4SAE Support

The increasing use of sensor intelligence and data preprocessing capabilities has been successfully tackled as well with the use of the industrialized STM. By transferring main raw data processing onto a decentral embedded system included in the sensor, core requirements are provided for effectively implementing the sensing units as self-aware CPS in industrial environments.

The simulation of real process environments by exploiting the functionalities of the advanced platforms of the corrosive gases testbed perfectly rounds of the improvement of the technological readiness level of the radar sensors. ASINCO is already closely interconnected within the pan-European community of radar sensors and additionally within the steel producing community. These cross-border collaborations can and will be further enhanced.

Impact

In close compliance with the targeted objectives of the call, this project tackles the development of further enhancing an already novel and smart solution of a technologically specialized SME. Thereby, it becomes possible to expand ASINCO’s leading position in the target market of providing robust measurement solutions for the metal producing industry.

The initiation and further pursuit of the robustification and market readiness development of radar-based sensors is the main interest for ASINCO. Numerous preliminary talks and discussions with various stakeholders from universities over research institutes to clients, clearly shows that the systems currently available on the market obviously do not meet industrial requirements.

There is currently great interest in testing radar measurement technology for applications such as product tracking, geometry and speed measurement and control on hot wide strip mills. The radar-based system technology to be further developed and especially robustified for the industrial application also has the potential to be used in almost every process stage of metal processing, from continuous casting (slabs) and hot rolling (hot strip, heavy plate) to cold rolling and finishing, as well as in long product plants. In a comparison of today’s optically- or laser-based measuring systems, a previously unattained field of application, namely much closer to the process, can be opened up.

With the entry of this new measuring technology, possibilities for process improvement with associated energy savings are attained at many points in the metal production process. There is also potential in the use of other materials such as plastics, glass, wood and paper.

Safecility

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Company info:

Name: The Convex Lens
Date founded: 2018
Number of employees: 4
Location: Dublin, Ireland

Safecility’s innovative sensor technology enables property owners to easily meet their statutory obligations to test emergency lighting through automation.

www.safecility.com

Partners:

Innovation Management Partner:

Safecility: automated sensor solutions for statutory building compliance testing

Challenge

Every year European businesses and public bodies spend €1bn on inspection of Life Safety Systems in public buildings. Emergency lighting testing is a segment of legally required fire safety testing that at present is conducted manually by technicians who inspect, test and affirm the lighting at a minimum four times per year. This is expensive and time consuming with huge potential for human error and thus non compliance. Smart sensor solutions which automate this testing can free up resources while streaming vital compliance data. This allows building owners to make informed compliance decisions resulting in smarter and safer buildings.

Solution

Safecility digitises the antiquated emergency lighting testing process seen within industry. In Europe emergency lighting testing is carried out in person with results recorded using paper in 90% of cases. Safecility replaces human input with wireless sensors which automate scheduled testing and stream the data to asset managers via a software platform. Building owners can be assured of their compliance status in real time through a simple visual dashboard and audit trail.

FED4SAE Support

Safecility Application Experiment has been implemented using the ST Microcontroller BL072Z and has been validated on the Digital Catapult LoRa testbed infrastructure in London, UK.

Impact

Safecility has automated and digitally recorded legally required emergency lighting testing while minimising the cost and time involved in maintaining compliance. By developing and validating this type of sensor technology using LoRa, Safecility was able to prove the future potential of a wide range of applications which would tackle additional statutory building compliance testing in smart cities.

Safecility has and continues to take strides towards a more transparent and accountable system for fire safety testing in the wake of the Grenfell Tower tragedy. Human error or failures will be drastically reduced resulting in safer buildings and safer residents.

Achievements

Successful trial with Vivid Homes and Limerick Council.

Received Competitive Start Fund Grant from Enterprise Ireland in 2019.

Shortlisted by Lighting Industry Association for the Lux Awards 2020 Emergency Lighting Product of the Year.

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Sentinal

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Company info:

Name: Sentinum UG
Date founded: 2018
Number of employees: 3
Location: Nuremberg, Germany

Sentinum specializes in the implementation of large-scale wireless sensor networks for municipal use. Starting with the hardware, over the wireless communication up to data storage, evaluation and visualization.

www.sentinum.de

Partners:

Innovation Management Partner:

An energy-self-sufficient drainage monitoring system for critical event detection

Challenge

Rapid flooding of drainage systems is a well-known but hard to predict consequence of heavy rain that occurs in many climates around the world. The resulting high flow rate and pressure in the duct system can lead to considerable damage to the substance or even worse to detached manhole covers which pose a danger to pedestrians and traffic participants.

Solution

Only with a holistic sensor system an accurate picture of the events in the canal is generated and damage to infrastructure and people can be prevented. By recording the water level, flow rate and pressure, conclusions can be drawn in real time about events in the drainage system. We also record the position of the manhole cover and the presence of harmful gases such as H2S to protect people in the vicinity. The sensor is completely energy self-sufficient and wireless. The communication uses the latest LPWAN technologies. All data is stored by our cloud services and visualized for the customer.

FED4SAE Support

In the implementation of our product, we benefit especially from the partners provided to us via FED4SAE. Our energy self-sufficient sensors require low-power microcontrollers which nevertheless possess a certain performance. For this we use the STM32L4. With its extremely low power consumption in sleep modes it is predestined for our application. Via FED4SAE we have direct contact to ST-Microelectronics and can access this resource and expertise first hand. With the Fraunhofer IISB as test bed, we simulate the harsh environmental conditions prevailing in a sewer system and analyze its effects in a unique way. Being able to fall back on such practical tests during product development accelerates time-to-market extremely and increases the quality of our final product.

Impact

Our system affects two different areas. On the one hand, there are hardly any possibilities for planning offices and municipal civil engineering departments to evaluate how their sewer system works. With our system, data is continuously recorded over many years and processed to provide information about changes and anomalies. This opens up a completely new perspective on the planning phase, implementation and, above all, maintenance of the sewer systems.

The second point is increased safety for pedestrians and traffic participants. Injuries and even fatal accidents due to missing manhole covers occur more frequently than they should. Accidents or even drowning due to the tremendous suction of the backflowing water during heavy rain events. With our sensor system, depositioned manhole covers are instantly detected and warnings are transmitted to the relevant authorities, by voice call, sms or email. With this information, communities can act quickly and avoid resulting threats to people and the environment.

Smart-Tunnel

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Company info:

Name: ISSD
Date founded: 2009
Number of employees: 51
Location: Ankara, Turkey

ISSD is working on system design and integration, digital signal processing, software development and electronic design. The company provides solutions for Intelligent Transportation Systems, Traffic Management and Enforcement Systems.

www.issd.com.tr

Partners:

Innovation Management Partner:

Smart-Tunnel: Improving automatic incident detection in tunnels

Challenge

In many road tunnels worldwide, human operators monitor the flow of traffic through CCTV cameras from a central control room to ensure the users’ safety. However, scrutinizing large numbers of monitors over extended periods of time is a cognitive challenge. Automatic Incident Detection (AID) systems help by analysing multiple video streams in real time and automatically alerting operators to events which they may need to act upon. Current AID systems utilize traditional computer vision image processing algorithms, which are subject to performance limitations inherent to their functional principle.

Solution

Artificial neural networks can outperform traditional approaches in computer vision. Therefore, ISSD has augmented their AID solution with deep learning to increase detection accuracy and performance. Specialized hardware for the neural network inference process keeps the server cost competitive. The solution can be deployed to both new and – as a retrofit – to existing tunnel monitoring infrastructure.

Achievements

ISSD has created a deep-learning based detection engine for their AID product that generates real-time alerts when pedestrians or a stationary vehicles appear in a video stream. After outperforming the previous solution against a representative set of video segments recorded in several road tunnels, the new detection engine was integrated into a live AID installation for evaluation at one of ISSD’s customers in Turkey.

In this test, the false alarm rate was reduced about half from the legacy solution, with the new engine still detecting all the events that the legacy engine detected, and doing so faster. The deployment environment for the detection engine employs Intel Movidius Myriad X visual processing units (VPU) in a highly scaled high-density deep learning (HDDL) configuration, processing camera video at a lower hardware cost per stream than the previous platform despite the increased computational requirements.

FED4SAE Support

Intel benchmarked the solution across multiple hardware platforms (CPU, FPGA, VPU) to confirm ISSD’s selection, provided performance tuning support of the network and assistance on the server configuration using the HDDL boards. Leading the technical coaching on neural networks, fortiss supported ISSD in applying the Neural Network Dependability Kit (NNDK) and in interpreting its analysis results to evaluate the object detection network model and improve its robustness against various kinds of image noise.

Blumorpho provided business innovation coaching and pitch training. Several joint dissemination and networking opportunities were enabled by all the partners.

Impact

  • After its maturity for production use is ensured, the improved detection engine will be an integral part of ISSD’s tunnel safety product.
  • The new technology will also be applied to other traffic monitoring products in ISSD’s portfolio.
  • Intel will partner with ISSD to assist them in scaling their portfolio of intelligent traffic management solutions to the global market, improving traffic safety worldwide.

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SpecifiCity

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Company info:

Name: HOP UBIQUITOUS S.L.
Date founded: 2013
Number of employees: 26
Location: Ceutí, Murcia, Spain

Spanish SME focused on research and development of Smart Cities solutions with a strong background on remote management, standards, security bootstrapping, and scalability for large scale deployments.

www.hopu.eu

Partners:

Innovation Management Partner:

SpecifiCity: Enhancing calibration process in gas sensors for Air Quality Smart application in Smart Cities

Challenge

Smart Cities need a complementary and reliable solution to extend current network of weather stations with a fine grain monitoring based on cost-effective, reliable and trustable air quality stations. Current solutions are very expensive and not offering a suitable data quality due to cross-sensitivity, fatigue and lack of extended calibration processes. For that reason Specificity aims to offer a high accuracy to measure in a precise way and in real time the air quality in the different points of the city innovating in new advanced processing capabilities for analogue signals with STM and innovations in calibration processes for gases with Fraunhofer. Thereby, cities will be able to obtain reliable air quality data to carry out informed decision-making for promoting a better quality of life, mobility plans, and vision for the city sustainability.

Solution

This project will carry out a system integration-type Application Experiment (AE) which will create a disruptive solution to Air Quality monitoring. Nowadays, electrochemical-type gas sensors are commonly used to detect the presence of pollutants/acids in the air. These sensors present a complex calibration process, high maintenance cost and low data accuracy. HOPU aims to develop and validate algorithms for calibration of gas sensors, anomalies detection, cross-sensitivity mitigation and fatigue compensation based on embedded data processing.

FED4SAE Support

The corrosive Gases and Gas Sensor Testbeds from Fraunhofer IISB have provided all the necessary equipment to expose the sensors to different concentrations of gas, temperature and humidity, which allow us to generate the necessary datasets to train and validate the algorithms and additionally to contrast and validate the experiments carried out in our laboratory and as well as the accuracy of the calibration process for our air quality solution.

STM32 industrial platform have provided us all the necessary support in order to apply the algorithms and thus obtain the concentration of gas sensors in streaming (real-time). Regarding the device, gases concentration calculations have been carried out and the collection of the rest of the parameters calculated by through the specifically defined algorithms. In conclusion, STM32 platform has been/is crucial to enable the necessary processing capabilities.

Impact

Towards a leader position at worldwide level in industrial sector on the development and manufacture of gas monitoring devices, the differentiation of HOPU solution is based on quality and unique added value, raising its competitiveness. HOPU will gain clear market advantage in terms of the enhancement of the accuracy in a cost affordable way and high compatibility of calibrated sensors with platforms and IoT/Smart Cities ecosystems.

The final product as outcome of the project is to manage to unify the physical world (device) with the virtual world (platform) as a Cyber Physical System (CPS). The results will be integrated in the Smart Spot product, adding the intelligence and algorithms to enable a new standards of data quality, reliability, trustability and specificity capabilities from gas sensors.

SpecifiCity will boost the competitiveness of HOPU thanks to the innovative solution which will add value and impact over smart cities market. In addition, the project will have also a positive impact over environment and health/society, since the opportunity to rise awareness and promote sustainability informed decision making for our cities built on top of trustable and reliable data sources

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SpectroX

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Company info:

Althexis Solutions Ltd. Name: Althexis Solutions Ltd. Date founded: 2016 Number of employees: 6 Location: Nicosia, Cyprus www.althexis.com

Partners:

Innovation Management Partner:

LEVERAGING AI & HYPERSPECTRAL IMAGING TO PROVIDE EARLY INSIGHTS INTO SKIN CANCER

Challenge

Skin cancer is responsible for 1 death per hour which accounts for more than 50% of all cancers combined. The most aggressive and hazardous skin cancer type is Melanoma, which represents 4% of all skin cancer lesions. Melanoma diagnosis rates are continuously increasing however the number of Dermatologists is decreasing relative to the population. This means that Dermatologists do not have the capacity to regularly examine the general population using conventional techniques. At present, multiple repetitive examinations are required in order to safely determine skin abnormalities. Most systems that are currently available to doctors are optical or digital dermoscopes, operating in the visible spectrum. Such devices have limited diagnostic and predictive accuracy.

Solution

SpectroX project exploited the fact that Hyperspectral imaging is able to reveal rich information, both in and under the surface of skin, well beyond the capabilities of the human eye. With the additional aid of Artificial Intelligence (AI) and deep learning technology, this has enabled the multi-disciplinary team of Computer Scientists and dermatologists at Althexis to develop this breakthrough technology that can detect and classify skin conditions before they become they even become visible thus enabling earlier intervention resulting in improved patient outcomes.

SpectroX has proven to be highly accurate, easy to use as an early diagnostic system that will revolutionize the way in which skin conditions are detected. SpectroX significantly reduces the examination time by half compared to current solutions, while making a previously inaccessible technology, affordable  without any compromises.
This is the key to scale population screening, which will lead to saving lives and medical costs.

SpectroX is a full solution for the dermatologist from the handheld image capture device with an AI enabled software capable of capturing and making skin image classifications for various skin conditions. It also includes full patient records, electronic GDPR consent forms, patient metadata. visits and images taken over time of skin lesions and moles. All data is uploaded to the Althexis Secure Cloud, enabling AI models to be continuously updated and distributed automatically to all the systems in the clinics. This process enables every dermatologist and their patients to gain from the latest collective insights and expertise and enables single-shot predictions of unprecedented accuracy, compared to the conventional procedures.

AI has rapidly evolved and matured and is used in a growing number of healthcare solutions providing outstanding performance. Spectral Imaging cameras enable precise and consistent image acquisitions, as the capture procedure is properly calibrated and represents an actual physical measurement. Althexis combines these along with its secure Cloud technologies to bring about the next generation dermoscope, with a special emphasis on the early detection of melanoma.

FED4SAE Support

FED4SAE project has been critical in accelerating the efforts of the company to develop and deploy working devices, based on CSEM’s Hyperspectral Technologies that captured rich hyperspectral images from patients which has enabled the AI systems to be developed. This has enabled Althesis to validate their business model and reach the market faster. The collaborative network within FED4SAE provided the key enabling technologies from CSEM and Intel also valuable business support from BluMorpho.

Impact

SpectroX is the next generation dermoscope solution and it has been developed, deployed and validated within the FED4SAE Application Experiment. It is enabling Dermotologists to gain early detection of melanoma or certain skin conditions and that can significantly increase survival rates. SpectroX will also have a significant impact on the attitude towards skin screening from the general public and allow for a larger portion of the population to be tested. Currently (Q4’2020) Althexis is currently seeking Venture Capital funding, in order to scale its business by approaching new clients and develop new features within SpectroX.

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SureWash

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Company info:

Name: Surewash-Glanta Date founded: 2010 Number of employees: 7 Location: Dublin, Ireland SureWash uses its patented gesture recognition application to teach staff, patients on the proper hand hygiene protocol to WHO handwashing standard. https://surewash.com/

Partners:

Innovation Management Partner:

SureWash Hand Hygiene guidance and measurement system over the sink

Challenge

COVID-19 has raised everyone awareness of the importance of hand hygiene, however before it arrived, 9 million infections occur each year in European hospitals and care facilities (European centre for disease control https://www.ecdc.europa.eu/en/publications-data/infographic-healthcare-associated-infections-threat-patient-safety-europe), and in the US, hospital acquired infections kills 100,000 patients each year and cost $45 Billion. In fact, seven percent (7%) of all Hospital patients in developed countries acquire infections (HAI).

The World Health Org (WHO) estimate that 50% of infections could be prevented with better hand hygiene and to reduce hand acquired infections, the WHO have developed a seven step handwashing protocol that mitigates the risk of bacteria remaining on washed hands.

Solution

Glanta T/A Surewash™ have developed an Over The Sink hand wash training and monitoring system (Surewash OTS) that provide real-time feedback to the user as they are washing their hands as to their compliance to the WHO handwashing protocol.

The goal is to increase staff compliance to the protocol, thus reduce infections and avoid the need for antibiotics to treat infections. This improves patient outcomes, shorten hospital stay and overall results in lives saved and significant cost avoidance.

There may be many over the sink units deployed across a hospital wards and as they are “smart and connected” they capture and report real-time hand hygiene data which is aggregated and enables hospital management to visualise utilisation, track compliance, compare sites and enables early invention to prevent the outbreak of infections.

FED4SAE Support

SureWash™ partnered with both Intel, CEA and IRT-Nanoelec to develop, deploy and validate a number of prototypes. Intel Movidius engineers provided assistance on the Intel’s MyriadX™ VPU(Visual Processing Units), OpenVino and Realsense™ depth sensing camera technology.

The prototypes were deployed, tested and evaluated in the IRT-Nanoelec testbed facility. Functional testing included (GDPR) privacy and cybersecurity compliance assessment as well as usability analysis and user acceptance with potential customers. As part of the FED4SAE suite of services, SureWash is receiving support in business modelling, market insights and design to cost from Blumorpho and CEA-Open Innovation team. Intel has introduced Surewash™ to a number of potential partners to accelerate its path to market.

Impact

The working prototype was deployed at Korian Nursing Homes (France) and valuable feedback was provide to Surewash team.

The devices were used in a clinical trial within the NHS (UK) and it increased the quality of hand hygiene by 197% and the number of hand wash events by 147%. The results were published in the American Journal of Infection Control in February 2020.

SureWash are now seeking a partner to commercialise this product at scale. If you are interested in helping to roll out SureWash AVA into the marketplace, please get in touch through the following link https://surewash.com/contact-us/.

For further information about the SureWash products, visit www.surewash.com.

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T4A

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Company info:

Name: ARTAL Technologies Date founded: 1998 Number of employees: 110 Location: Toulouse, France 1 rue Ariane 31520 Ramonvile St Agne www.artal.fr

Partners:

Innovation Management Partner:

TIME4SYS FOR SYSTEM ARCHITECTS CHALLENGE

Challenge

In all the domains addressed by Smart-Anything-Everywhere Initiative, the general technology trends are the same: an increasing number of functions will be distributed over a small number of high-performance embedded systems and software development becomes the main driving factor.

The resulting tooling from this experiment aims at improving the design of these software, by giving the system architect confidence – and potentially proves – on the ability of the system to match the expected behavior; a capability that was previously restricted to few specialists, late in the process, in the best case…

Solution

The solution extends proposes three main improvements to the current design practices:

  • Allow the system designers to lead analysis on their designed architecture by their own; without depending on others and without leaving their working environment
  • Allow to launch different tools (analysis and simulation) and give hints on the most relevant one regarding the model of the design architecture
  • Allow to identify the elements and properties involved in a missed end-to-end deadline, directly in the original architecture modelling environment.

The solution thus extends the Capella system architecture environment and allows to define real time properties and constraints on the system in the early steps of design.

The solution can be used in a generic engineering framework but also provides additional features for specific domains where timing is critical and where the complexity is such that it cannot be grasped by the human mind; an Arinc 653 customization supports this whole approach in the domain of integrated modular avionics so that a A653-based system architect could get timing analysis in a few clicks.

FED4SAE Support

THALES had provided real use cases where the approach is useful and real feedback from the trenches with value assessment (cost, planning, quality).

The solution being relevant in many industrial fields, FED4SAE has supported Artal in the definition and packaging of solutions for specific domains out of our existing scope of clients.

Impact

Developing a bridge between Capella and Time4Sys is a key factor for the adoption of Time4Sys in the industry, not only aeronautics and space industry, but also smart cities, smart health, smart building, smart transport and others. The developed tooling is improving the design of these systems, by giving confidence on the ability of the system to match the expected behavior. For critical systems, it reduces the risk and associated costs of finding critical issue during the late stages of development and improve confidence on the system design. It also supports the optimization of the real time systems by reducing the security margins usually set to cope with the unforeseen chain of events leading to a failure.

This tooling supports the strategic transformation of Artal from a pure service provider to a solution provider, mixing services and licensed software products, with more added value. This requires internal transformations to adapt and strengthen the company workforce for marketing, legal and R&D services through on-going efforts and significant progress has already been made.

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