“Carrots” funded as TETRAMAX-BILATERAL-TTX-1: Cooperative ARchitecture for gaRdening with Open moniToring Systems.
Tomappo is a digital gardening assistant enabling anyone to grow their own vegetables. Within Carrots, Lifely’s social sensors will be customized for use with Tomappo. This will add new dimension to Tomappo leading to a better product for users and new revenue stream for company receiving technology, while also benefit the owner of the technology by providing a new use-case for their sensors.
Combining several applications, with different criticality and safety requirements, demanding high performance on multicore embedded boards, while satisfying strict hard real time constraints remains a very difficult challenge. Solving this challenge would allow manufacturers to put more functionality on a single board, thus achieving much more efficient designs in terms of weight, footprint and power and, therefore, costs.
EuroCPS: exa informatics (Collecting personal data)
IBT3, Innovation branding through IoT, aims to create a platform by which personal data in public places (including privately owned venues such as malls, concert venues, aiports etc) can be collected with consent. Increasingly applications are collecting data from personal devices in public spaces from personal devices without the knowledge of the owner of the device. By providing a means by which users can consent to data collection this project presents a method by which data can be collected in public environments within a trusted way. Reducing the risk of data misuse ranging from personal data harvesting to identity fraud all of which can damage the reputation of the space in which the data was collected.
Skin cancer is responsible for 1 death per hour which accounts for more than 50% of all cancers combined. SpectroX project will exploit a multispectral camera which will able to reveal and capture information rich images, both in and under the skin, beyond the capability of the human eye. With the additional aid of Artificial Intelligence (AI) and deep learning technology, this will allow for an instant and automatic evaluation of the underlying skin conditions. FED4SAE project will significantly benefit and accelerate the efforts of the company to commercialize and reach the market earlier. The collaborative network within the FED4SAE apart from the technological support of CSEM and Intel also provides Althexis with the business support from Blue Morpho. This gives the opportunity for the the company, during the development of the proposed system, to continuously improve company commercialization and marketing strategy.
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 will 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. The final product as outcome of the project will 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.
To implement a novel connectivity architecture with regards to electric two-wheelers, with the aim of increasing the service offer within the whole value chain of electric motorbikes, starting from vehicles to the riders.
Predictive control system to maximise lifetime of hybrid fuel cells
To embed Genport’s electrochemical model in order to provide Smart Diagnostics Capabilities of the Li-ion battery module into Hybrid Fuel systems, targeting in a larger objective to extend lifetime of hybrid power sources operating in micro-grids beyond the state of art.
Protolab: Development of a smart sensor kit for monitoring of scoliosis treatment braces
Protolab aims at developing an innovative plug & play wearable sensor kit for monitoring the pressure inside scoliosis braces, improving the compliance with medical prescriptions and boosting the patient active participation in order to reach satisfying results from the care treatment. Digitization will boost the development of automated analysis to frequently check treatment progresses, while the availability of gathered data will allow the use of predictive algorithms to favour rapid intervention in case of wrong trends, thus favouring the active participation of the patient to the care treatment.
Smart-Tunnel: Improving automatic incident detection in tunnels
Neural networks have shown excellent performance in computer vision related tasks. Thus, the new AID system design will utilise neural networks to achieve the desired goals. By augmenting the current AID solution, it is anticipated that the final system will be able to outperform the current system, detecting and tracking the movement of the various vehicle types or pedestrians with higher accuracy and better performance.
OTA Airtech: Artificially Intelligent Rainwater Management Technology
Rainwater management systems are dual-purpose solutions; providing water efficiency benefits as well as stormwater management services with associated monetary, energy and carbon cost savings for both consumers and utilities. OTA utilise state of the art IoT technologies, which incorporate Predictive Analytics & Artificial Intelligence (AI) with the latest water management and engineering practices. Our vision is to deliver systems that are low-cost, reliable and scalable across global markets
Safecility: Automated sensor solutions for statutory building compliance testing
Safecility digitises the antiquated emergency lighting testing process seen within industry. Safecility replaces human input with wireless sensors which automate scheduled testing and stream the data to asset managers via a software platform.
Nanoleak: Development of a smart sampling device based on NANOhole LEAKs for analytical instrumentation
Miniaturize and digitalize the gas sampling using combination of Nano Electro Mechanichal System (NEMS) and computing power which will lead to high resolution gas analyzer, multigas detectors, innovative GC-MS portable with electronic control and management signal that can be fully integrated on a chip structure. The application will allow the industry to minimize the risk of introducing NEMS in the device and to have up to date integrated calculation capacity on board (STM32).
Bettair: Mapping Urban Air Quality In High Resolution
Bettair® is a Platform as a Service (PaaS) that permits, for the first time, to map air and noise pollution in cities on a previously unimaginable scale based on a large deployment of outstandingly accurate gas sensors by using an advanced post-processing algorithm. The information provided by the bettair® platform allows cities to implement appropriate urban plans to enhance the air quality and to make smart and better decisions to mitigate air pollution.
Bringing the power of timing analysis techniques directly into the system architect environment in order to help them to validate the design of their real time systems in early phase of development. The solution extends the Capella system architecture environment and allows to define real time properties and constraints on the system in the early steps of design. Based on this information, the system architect can then launch analysis and simulations that validate the design and prove that the performance requirements will be met.
Alitec (optolight): Real-time, automated light type monitoring and optimal control in horticulture
Despite the scientifically proven relevance of diffuse sunlight for crop production improvement, commercial light sensing technologies do not allow to effectively and affordably implement an automated control of shadings systems in horticultural practices. For this reason, the shading process is not optimized, and so is the production. To fill this gap, Alitec are integrating a cyber-physical system gathering real-time information about the type of sunlight available in greenhouses under continuously changing irradiation conditions, and providing input for controlling shading screens so as to optimize crop growth.