Ended innovation projects

Here you find Innovation projects in the past.


For many industrial applications, it is essential to be able to measure accurately, Stretching, deformation and vibrations of the songs in order to evaluate the in-service sustainability of paragraphs. The most commonly used measurement method is currently attached to the surface of the body. However, their use is limited to only individual sites on the surface of the piece and to small stretching. The need for a more comprehensive and more accurate, individual locations for non-unlimited deformation measurement equipment exists on a large scale. The most promising technology for resolving the lack described above is a digital image correction (DIC). It is possible to control and measure the deformation of surfaces and pieces without physical contact with the surface using cameras. By comparing the images taken in time intervals, it is possible to determine the deformation in the surface of the paragraph. Such a system can be able to produce real-time and rapidly large number of high quality two- or three-dimensional stretching data. However, there are shortcomings in the current DIC measurement methods, especially with regard to the patterning of the surfaces to be measured. Digital image correlation needs the surface of contrast differences to function because it is otherwise impossible to calculate what changes between each image have occurred. The new approach (ADIC) now presented offers a solution to all traditional pattern problems. Our approach is used for new methods developed by Aalto University; Microcontactation and computationally optimized texture patterns. The method brings several advantages compared to traditional pattern methods, measurement accuracy, repeatability and costs. Because of the need for the market, we are setting up our expertise on a "start-up" company. Our goal is to provide the first product that includes both application, customer-specific advanced patterning and comprehensive know-how from digital image correction.



Cancer is the second most common cause of death in the world. In 2018, the deadly cancer of 9.6 million people are estimated. According to the WHO, approximately 18 million new cancer cases and the amount are estimated annually to grow to grow to 24 million by 2030. The average risk of developing cancer at some point during his life is about 38%. The right time and high quality diagnosis is a very important first step in the treatment of cancer. Biopsy is a sampling method for diagnosing soft tissue or cells. It is the prevailing standard of cancer diagnostics and 98% of cases of cancer to utilize biopsy in diagnosis and treatment planning. Today, two leading methods are used in needle biopsy. Both methods have significant shortcomings and there are currently no technology to combine the strengths of both methods. A significant amount of biopsy sampling fails because sampling does not succeed in collecting sufficient amount of cells or sampling associated with significant safety risks. In Advaneedle, we use the existing work processes of hospitals and clinics, but we will introduce a new concept in order to remedy the shortcomings of technologies. We have promising research results on this subject, so TUTL funding allows research to continue, validate and investigate commercialization opportunities.



The objective of the project is to find the most suitable commercialization path of added intelligence (Augmented Intelligence) solution for CEAMA, which improves employee capability and productivity in mechanical assembly and maintenance. During the project, the project team at Aalto University develops uses and prepares pilots with its business partners and to develop business models and builds a IPR portfolio on a thorough market and competitor analysis.



The world needs raw materials and because of this, the challenge for the mining industry is to meet the world’s mineral needs, which are approaching two trillion US dollars at a time when mineral reserves are running low. In practice, this means that mining operators will have to process ever larger masses of lower quality ores. In addition, stricter environmental requirements in mining have led to the search for greener leading technologies.

In our Aalto University laboratories, we have developed new chemical combinations, collectively referred to as "CellFroth", which can be used to improve the performance of the flotation process used to enrich minerals. In preliminary experiments, CellFroth combinations have performed better than commercial compounds in the following areas: i) better yield in copper ore flotation; (ii) lower sensitivity to high sludge pHs when flaking zinc flux; (iii) the possibility to reduce the consumption of the aggregator chemical to 25% of the initial dosage without a significant change in the zinc scintillation intake; and (iv) up to ten times the process kinetics in the foaming of copper from both copper ore and copper-containing tailings. If the above advantages can be maintained when moving from the laboratory to the industrial scale, the amount of minerals to be processed could be increased without the need to increase the size of existing process equipment. In addition, the main component of CellFroth combinations is based on cellulose derivatives, i.e. it can be produced from renewable resources. In Finland, we are in a particularly good position to study this technology, as it is one of Europe's leading mining countries and, due to Finland's vast natural resources, there is a chemical industry interested in exploring cellulose derivatives as future green chemical alternatives.

Contact: Janne Raula, Innovation Advisor (CHEM)


High quality immersive Virtual Reality experience currently requires a PC setup with cable connected head mounted display, which is expensive and restricts user mobility. This paper presents CloudVR which is a system for cloud accelerated interactive mobile VR. It is designed to provide short rotation and interaction latencies through panoramic rendering and dynamic object placement. CloudVR also includes rendering optimizations to reduce server-side computational load and bandwidth requirements between the server and client. Performance measurements with a CloudVR prototype suggest that the optimizations make it possible to double the server's framerate and halve the amount of bandwidth required and that small objects can be quickly moved at run time to client device for rendering to provide shorter interaction latency. A small-scale user study indicates that CloudVR users do not notice small network latencies (20ms) and even much longer ones (100-200ms) become non-trivial to detect when they do not affect the interaction with objects. Finally, we present a design of CloudVR extension to multi-user scenarios.



The project examines commercialization options for machine learning methods developed for plant breeding.



The project explores the automatic synthesis of information systems by means of combinatorial application methods and communication and reasoning methods developed in the artificial intelligence study. The aim of synthesis methods is to achieve significant cost savings in relation to conventional software development methods. The project will develop technology forward in view of the commercialization target and assess the compatibility of developed technology for the construction of information systems in different application areas and the cost savings achieved.



Due to the aging of the population, more and more people have to use strong painkillers, eg in developed countries over 10 million. from the patient. However, the concentration of opioids in the most important painkillers directly in the patient's blood is unable to determine simple real-time measuring instruments. The project will commercialize the previously developed simple electrochemical measurement method. In this way, it is easier for eg long-term diseases, surgery anesthesia, and the treatment of patients' overdose of narcotics. Health-related business is globally a rapidly growing area and Finnish companies have the opportunity to develop into key players in these markets through increasing skills and innovations.







Ioncell is a technology that turns used textiles, pulp or even old newspapers into new textile fibers sustainably and without harmful chemicals. The process converts cellulose into fibers which in turn can be made into long-lasting fabrics.



A fast, inexpensive and versatile laser spectroscopy-based caycycle scanner for the needs of the mining industry and infrastructure construction. The purpose of the LASO-LIBS-TUTL project is to develop a product or service to reduce the energy consumption of the mining sector and the birth of sidewalls and enrichment waste. A technical solution is an innovative laser-based caycycle scanner that produces detailed geological information that can be used to optimize the phase of mining operations.



The matrix casting project develops a rapid, accurate and preferred 3D method based on the exposure of photopolymer and at the same time ascertaining the conditions for commercialization of the method.



This project aims to develop commercialized self-cleaning reflection films for solar cells and other optical applications. Due to man-induced climate change, low carbon and carbon neutral electricity production methods are important. Solar energy is the most promising power of electricity in the world scale. However, up to 20% or more of the energy production potential of solar cells would be floated due to soiling of solar cells. The energy gathering can be prevented by continuous cleaning, but this means that the solar cell owner either constant expenses from cleaning or effort because the cells need to be cleaned themselves. The self-cleaning membranes we have developed are based on well-scalable atomic coating growth technology (ALD technology). In addition to self-cleaning, the membranes operate as excellent reflection-blocking membranes on the glass. Combined self-cleaning and reflection-blocking lift the daily electricity generated by the solar cell by about a third. In the project, we develop the sustainability of our membranes at the same time as trying to maintain excellent self-cleaning and optical properties of the membranes. The other side of the project is to find the right commercialization model. The business of the post-project spin-off company can be based on licensing, manufacturing assistance or combination of nodes. Finding suitable customers is also a priority.



As the effects of climate change begin to be felt, a global revolution in new energy solutions is essential. Ensuring the timely availability of various decentralized energy resources in electricity networks is a major challenge for the revolution of new energy solutions. The regulated electricity market constitutes a nationwide mechanism to achieve this without state aid. Energy resource owners and elves always offer their energy resources in an auction-controlled control electricity market - and they must always make good business decisions in order to operate profitably. These decisions are usually made using a virtual power plant, either by an expert or automatically.

The Predictricity joint project will apply artificial intelligence to develop predictive capabilities in the context of virtual power plants and to support profitable business decisions. Forecasting focuses on the control electricity market and the resilience of energy resources to the short-term market. The joint venture will develop forecaster applications through which forecasts will be available when the necessary decisions for bidding in the marketplace have to be made.

The joint project will focus on the electricity markets of Finland, the Nordic countries and other EU countries, as these countries - especially Finland - have been progressive in producing relevant open data. The project will also actively monitor the ongoing harmonization of the European regulatory electricity market and anticipate the consequences of this development for the development of forecasting capabilities. The main areas of interest are the frequency-controlled usage reserve and the frequency management reserve market.



Remos is a device that integrates with either deep mine's ectensometers, cable pulps or rock bolts. It calculates and displays real time of stress changes in the rocky mass and enables all available ore extraction and immediate warnings of unexpected bedrock movements.



With accelerating digitalisation and automation, the need for new solutions to improve the reliable and extensive availability of measurement data is high. The benefit of digital calibration certificates is their handling mechanically. The authentication of data accuracy, reliability and origin allows for a wide range of data markets when measuring instruments can sell data to other organizations. A preliminary commercial solution consists of two different aspects:

1. A security module whose measuring instruments and IoT equipment manufacturers can integrate into their product.

2. The data market, where devices equipped with information security modules can easily and cost-effectively produce data.

The business would initially consist of one or two and later on two or three business areas: sales of security modules, possibly the sale of expertise needed to integrate modules as consulting, and (subsequent) measurement information on the data market.



TUTL project aimed at finding the commercial potential of machine vision and machine learning-based motion monitoring and localization methods. These are nuclear technology and key enterters for the next-generation Mixed Reality Application (Augmented Reality and Virtual Reality, AR / VR) and the operation of autonomous machines.



VIS is a completely new technology based on a large wooden building element that is designed to withstand the underpressure close to zero bars. The internal geometry of the VIS element is optimized at the same time leading to heat through the passage as little as possible. Element to be coated an airtight and element can be attached at any time a vacuum pump to achieve such a low pressure within the element wherein the excess moisture bound to the wooden body can be transformed into vapor and removed via the vacuum pump out of the element. Method is generally referred to as vacuum drying. Vis is the world's first technology with wood where vacuum drying is harnessed as a maintenance operation of a complete building element.

The VIS element was scourmed to an industrial scale (7m * 3m), and from the seven VIS elements of the manufactured seven visions were erected as a construction physics and plant research experimental. The jacket, the floor and the carrying structures were carried out completely modularly, and not separate weather protection in the erection stage. There was also no concrete used in the structures of the test. Due to the vacuum drying feature, the risk of uncontrolled moisture damage is maintained in the state of the vacuum drying characteristic. The level of thermal insulation already achieved in the test model allows for a year-round heating of the vertical culture plant to anywhere in Finland alone by producing heat by producing the breeding process. Additionally, about 70 liters per element were obtained from the wooden rods of the experimental elements of the experimental elements by vacuum drying the elements under real conditions.

During the project, the vertical culture market and the interest in the area grew globally very strongly. As a result of growth, the development of cultivation technology has been developed, especially the development of consumers, increased interest in responsible local food and global concern about the impact of global warming in the long term.



Auscultic assistance with stethoscope (listening to cardiac and lung sounds) is one of the most common diagnosis methods for basic health care. In Finland, doctors make an estimated 10 million auspertures annually. Manual Auskuli is based on a listening physician's subjective interpretation. The action is time-consuming and prone to error interpretations, and its diagnostic accuracy is weak. In addition, the results of listening are stored in a written form based on the interpretation of the physician, and no remote consulting, comparison of results or long-term monitoring is possible. The research in the project solves these problems and takes a new level as a new level as a diagnosis method. Appropriate research utilizes extensive medical research material, and recording and signal processing methods allowed by modern calculation power. The research is responsible for the Aalto University's Neuroscience and Medical Engineering Department in cooperation with the Helsinki University Hospital. During the research project, the aim is to determine the most efficient automatic auscline measurement and analysis methods. The project takes the technical maturity required for the methods needed for diagnosis, which possible for further development and commercialization of significant external financing.



Rapidly growing market of advanced high-strength steels for automotive production increases significantly the risks and costs of hydrogen-related failures of the vehicle components. We have developed unique thermal desorption apparatus (TDA) and measurement pilot station for precise hydrogen measurements in solids which can contribute significantly in the quality improvement of steels for a variety of applications.

The new TDA enables the sequential measurement of up to five specimens in automatic mode. The TDA capacity is eight measurements in 24 h using the standard measurement procedure (heating rate is 10 C/min, heating range is from RT to 800 C). The high sensitivity of hydrogen spectroscopy measurement (better than 0.003 at.ppm/s hydrogen desorption rate measurement resolution) allows to study the hydrogen interaction with steels, hydrogen trapping, and diffusion. A web-based business platform (www.hyxpert.com) is ready to commercialize the distinguishable services provided by the new TDA concept. This web-based service includes a new approach based on data interpretation using an artificial neural network modeling, enabling a dedicated calculation, for each engineering material, of the sensitivity to hydrogen parameter (HSP).

The proposed techniques have additionally a wide range of industrial applications, where the high sensitivity measurements of hydrogen concentration are required, for instance in electronics industry. Also, development of the hydrogen-based economy and corresponding infrastructures bring challenging demands for the engineering materials, especially in terms of their resistance to hydrogen embrittlement.

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