The Innovation Cluster for Embedded Software is a source of inspiring new ideas and visions easily accessible for the local high tech industry. New approaches improving business processes and products are explored. Enablers for implementing new business models are going to be developed. The project portfolio funded by the Innovation Cluster is full of radical innovation!
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Monitoring business processes with Bar Codes and RFID tags is nowadays state of the art. Turn your entire employee's or even customer’s mobile phone’s cameras into a powerful and inexpensive distributed monitoring tool!

To make sophisticated and reliable products targeted to the internet of things you need runtime systems scaling with the complexity of the posed problem, an expressive but easy to use programming language fitting your needs, and powerful tools supporting your software development lifecycle.

Imagine not selling your tools but charging the customer for their usage. Prerequisites to establish such an infrastructure are: A clever software management and deployment system, self healing software in the case of failures and last but not least a trusted link in between your facilities.

Embedded software does independently control and monitor objects and devices of all types. The Innovation Cluster for Embedded Software helps strengthen Switzerland’s knowledge base and competitive position in the embedded software field, and promotes the training of young IT talents strongly needed for sustainable economic growth.
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Modern civilization relies on a wide variety of embedded devices: From medical implants to planes flown by wire. We are addressing the need for reliability in different manners: tools verifying the programmer's work, programming languages letting developers express what they really mean and software systems becoming immune to its own flaws.

Already roman emperors knew how to protect their privacy with encryption. Today's software offers encryption for everyone, but privacy might be harmed by untrustworthy software implementation. A step ahead in this respect.

Pervasive computers will penetrate your life and work environment in a noninvasive way. Would you like to carry your physician with you? Just in any case. Your mobile phone will support you in confusing traffic situations by tracking road signs. Afraid of managing a multitude of these little helpers? No worry, the software itself takes care of.

The Innovation Cluster for Embedded Software is fostering cutting-edge Information and Communications Technology (ICT) research. Its project portfolio covers a wide variety of topics within the Embedded Software field. Programming Tools and Programming Languages, Runtime Systems, Software Lifecycle Management and enabling applications are covered.
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• A research project proposes an easy to use workbench for automated program analyses of embedded software. The workbench will combine a number of static program analyses feeding into each other.

• Another topic is to non-intrusively extend C# and its runtime environment to support reliable hard real-time programming.

• The co design of a massively parallel Supercomputer, a Runtime System and a Programming Language for embedded systems with an emphasis on “high-performance computing for safety critical applications” is a project's commitment.

• Another project copes with failure immunity, a technique that enables embedded software in consumer devices to learn from past failures and become incrementally more reliable after every failure.

• A project will extrapolate the concepts and ideas behind the OSGi model to make them language and platform independent, fully service oriented, and the basis for programming distributed software on embedded devices.

• Cryptographic Ciphers will be reviewed. The foremost quality criteria regarding ciphers are: reliability, power efficiency, and speed. But attention will also be paid to compactness of the software and its resistance to side-channel attacks.

• Computer Vision for power restricted embedded devices is the second topic: The main goal of this project is to develop novel algorithms that automatically detect and segment multiple simultaneously moving objects in video images.