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Research Projects

Around a third of the Senseair company manpower is dedicated to highly scientific R&D as well as advanced Production Technique. The excellency of the company's development resources is proven by the fact that these resources also are highly appreciated as consultants in external projects.


Our current projects:


Air pollution emitted by anthropogenic or/and natural sources constitutes a significant risk factor for a number of severe health conditions, e.g. lung cancer and stroke. According to the 2014 WHO report, air pollution caused the deaths of 7 million people worldwide in 2012. In Europe, air pollution is estimated to cause more than 300,000 premature deaths each year. The total annual economic cost of air pollution-related health impacts is estimated to be in excess of US$ 1.5 trillion.

The concept of the FLAIR project: A high-performance air sampling sensor based on cutting-edge photonic technology is mounted on a UAV (drone) for pervasive and large area coverage high-specificity and high-sensitivity (ppbv) air quality sensing.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 732968.




Despite progress over the past three decades, drunk driving claims approximately 10,000 lives each year in the US. The Driver Alcohol Detection System for Safety (DADSS) Program is researching a first-of-its-kind technology that holds the greatest potential we have seen to reverse this trend. The technology will automatically detect when a driver is intoxicated with a blood alcohol concentration (BAC) at or above 0.08% — the legal limit in all 50 states except Utah — and prevent the car from moving.




Distributed and networked gas sensing is rapidly growing in importance for industrial, safety, and environmental monitoring applications. Optical gas sensors offer the highest sensitivity, stability and specificity in the market, but for most applications, the existing sensors are too bulky and expensive. To enable the broad utilization of high-performance gas sensor networks, there is a critical need for small, low-power and networked gas sensor systems. In ULISSES, the aim is to develop an integrated optical gas sensor and the networking technology required to bring it onto the Internet of Things (IoT).

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 825272.




The Digital Manufacturing & Design (DiManD) training network aims to develop a high-quality multidisciplinary, multi-professional and cross-sectorial research and training framework for Europe with the purpose of improving Europe’s industrial competitiveness by designing and implementing an integrated programme in the area of intelligent informatics driven manufacturing that will form the benchmark for training future Industry 4.0 practitioners.

This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 814078.




The ADMONT – “Advanced Distributed Pilot Line for More-than-Moore Technologies” project is focused on a powerful and versatile More-than-Moore (MtM) pilot line for Europe increasing the diversification of CMOS process technologies. The combination of existing expertise, technological capabilities and the manufacturing capacity of industrial and research partners creates a whole new ecosystem within Europe’s biggest silicon technology cluster “Silicon Saxony”. The distributed pilot line utilizes various MtM platform technologies for sensor and OLED processing in combination with baseline CMOS processes in a unique way and incorporates 2.5D as well as 3D integration of silicon systems into one single production flow.


This project has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 661796. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and Germany, Finland, Sweden, Italy, Austria, Hungary.




The motivation for the openMOS project is that European Manufacturing Industry has to become increasingly agile to compete in the global economy. OEMs need to be able to produce premium quality on demand. Traditional manufacturing models which are based on large production volumes and continuous improvement become increasingly difficult to sustain. Ever smaller lot sizes are required to be able to achieve short lead times for an increasing range of products and variants. High variety and flexibility is traditionally the domain of manual manufacturing systems. Repeatable high quality, on the other hand, is the strength of automation systems. The root cause of many warranty issues for high-quality products can be traced back to manual work.

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 680735.



Framtidens Växthusgassensorer

The aim of the project is to develop prototypes for cost-effective sensors to measure several greenhouse gases at the same time for the use in sensor networks.


This project has received funding from Vinnova.



Green IoT

Emissions from motor vehicles have become a major source of air pollution in the world's large and medium-sized cities. Many large cities experience serious air pollution (e.g. carbon monoxide, nitrogen oxides, hydrocarbons and particles) and greenhouse gas emission (GHG), which are made worse by increasing traffic congestion. Our overall goal is to investigate an innovative energy-efficient and information-centric infrastructure for Internet-of-Things (IoT), which connects heterogeneous wireless sensing and mobile devices to collect environmental data and integrates them for sustainable urban and transportation planning. Decisions can be made based on the sensing data for redirecting traffic to relieve traffic congestion and thus reduce air pollution. Our Green IoT platform provides a systematic solution that enables green and sustainable growth of society. It supports innovations and applications for addressing societal challenges, such as smart transport, sustainable city, and efficient energy, in the Digital Agenda and EU Horizon 2020.


This project has received funding from Vinnova.




CO2 is an excellent proxy for air pollution assessment and model validation. The goal of the project is a CO2 monitoring infrastructure and data services providing near real-time information based on low cost, high precision, wireless and autonomous CO2 sensors. The purpose is that the ability to implement long-term greenhouse gas policies and manage them effectively requires consistent, reliable, and timely information on CO2 emissions.

This project has received funding from the Eurostars-2 Joint Programme with co-funding from the European Union's Horizon 2020 research and innovation programme.




AFarCloud, Aggregate Farming in the Cloud, is an EU-project that will provide a distributed platform for autonomous farming that will allow the integration and cooperation of agriculture cyber-physical systems in real-time in order to increase efficiency, productivity, animal health, food quality and reduce farm labour costs. The project includes about 50 academic and commercial research partners all over Europe. The role of Senseair is to develop and supply mobile and maintenance-free gas sensors that can be used to improve farming. Sensors with high accuracy that can supply relevant data in real-time will be required. Gases such as carbon dioxide and methane as well as ethylene and nitrous oxide are relevant for the agricultural industry.


This project has received funding from Vinnova.



>> Click here to read about our finished projects.