Today, cryptocurrencies are mostly traded on centralized exchanges, which can handle very large bid volumes very quickly at low costs. However, the trader risks the total loss of his deposited tokens in case of a hacker attack or fraud of the operator.

Alternatively, decentralized exchanges are becoming increasingly popular. These consist of smart contracts that are available on different blockchains. The trader thus always retains sovereignty over his tokens. Unfortunately, decentralization comes at a painful price: fees increase rapidly as demand grows, and clearing takes at least a few seconds.

PolkaDEX combines the best of both worlds: Fast trade execution thanks to an off-chain matching engine combined with trusted execution to manage balances. This ensures that the exchange operator (or a hacker) cannot dispose of the credits at any time without a matching bid from the owner.

PolkaDEX and SCS are working together on this solution using SubstraTEE, the open source framework developed by SCS to develop publicly auditable solutions with trusted execution.

AI at the edge

(Unfortunately, this presentation is currently only available in German.)

In naher Zukunft wird KI zu unserem Alltag gehören. So werden selbstoptimierende Maschinen, Spracherkennung sowie diagnostizierende Medizingeräte uns täglich unterstützen. Die zugrunde liegenden Algorithmen sind extrem leistungsfähig aber auch leistungshungrig. Was steckt wirklich hinter der KI? Wie kann diese «at the edge», also eingebettet im Endgerät laufen, ohne Daten in der Cloud zu rechnen? In diesem Talk erklären David Gschwend und Florentin Marty, wie Ingenieure von SCS für Ihre Kunden erfolgreich KI in eingebettete Systeme packen.

Dieser Vortrag wurde am 9. Juni 2020 im Rahmen der Embedded Computing Conference 2020 mit dem “Audience Choice Award” ausgezeichnet.

You have an idea, a project or a problem you’d like to discuss? Get in touch with me now!

    Contact David Gschwend

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    SCS has received a development grant from the web3 foundation in Zug for developing a privacy enhancement for blockchains that are based on  Parity Substrate, such as Polkadot and its parachains. SCS will leverage Trusted Execution Environments, namely Intel SGX, to enable use cases requiring enhanced confidentiality or integrity of decentralized computation.

    This means that you will be able to transact cryptocurrency privately, that you will be able to swap cryptocurrency across different blockchains without a trusted intermediary or that you can vote privately and verifiably.

    The project is open source from the start.

    This week, we could celebrate our first tech-event about the railway infrastructure diagnosis vehicle gDFZ from SBB. Joel Casutt, Florentin Marty and Patrick Wernli led the audience with over 200 guests through the vision, how the Zentrales System works, collects data, computes data makes them ready and visualizes them, as well as which sensors are utilized and what first learnings about fault detection on the rails could be observed.

    As of July 1, 2018, SCS has launched a new Department for Blockchain and Internet-Of-Things. Alain Brenzikofer heads the newly formed group as the new Department Head. We congratulate Alain Brenzikofer on the new role and wish him every success.

    Distributed Ledger Technologies, Blockchain, Cryptocurrencies, IoT: The terms are ubiquitous and will disrupt various industries. Alain Brenzikofer has been observing these technologies for years and is a profound expert on the scene. Interesting applications arise today in the energy sector, but also in the commodity trade, with guarantees of origin. Some of these are already under development at SCS: As Partner in the “Quartierstrom” project in Walenstadt, where a blockchain-based peer-to-peer energy market is being created.

    Also in ML projects the usability of the user interface is key to success.

    On the IBM Watson Platform, PDF documents can be used for the training of Machine learning (ML) algorithms. For this purpose, a large number of documents need to be annotated manually.

    The annotation is an time-consuming work. Making a suitable tool available for this process step is key to success for IBM Watson.



    CCS Page Annotator
    The page annotator allows the user to mark the various kinds of texts graphically. Thereby, a document model can be established.

    On behalf of IBM research, SCS has created a web based tool for this task.

    The SCS usability engineer has designed the user interface according to the requirements of IBM. During this process, a special focus was placed on self-explanatory and efficient procedures. Studies at IBM have shown that thanks to this user interface, the time spent on annotation work could be cut by a factor of 10 and more.



    CCS Table Annotator
    For tables, a dedicated table annotation pagehas been set up.

    We congratulate IBM Watson Group, represented by Peter Staar and his team for the presentation of the poster at the SysML conference in Standford, CA.

    Peter W J Staar, Michele Dolfi, Christoph Auer, Costas Bekas. Corpus Conversion Service: A machine learning platform to ingest documents at scale. SysML 2018.

    Topics: User Centered Design, HTML5, Sass/CSS, TypeScript, Angular, D3



    At the third TechEvent this year Dr. med. Thomas Baumann and Dr. med. et phil. Stefan Essig have shown us how telemedicine can support pediatricians when diagnosing hip dysplasia.


    SVUPP is the Swiss association for pediatric ultra sound applications. Thanks to the new SVUPP Exchange Portal, the vision for telemedicine, designed for practicing pediatricians in Switzerland in the area of ultrasound, has become a reality. The digitalization of the imagery exchange leads to a fast and high-quality ultrasound examination of newborns.





    The original idea for the SVUPP Exchange Portal stems from an assistance project in Mongolia, which has been supported by Switzerland and runs an evidence-based prevention program for hip dysplasia, a common development disorder in newborns.




    Applied Technologies: Angular, TypeScript, Microsoft .NET Core, Event Store, MongoDB, OAuth 2

    SVUPP – Schweizerische Vereinigung für Ultraschall in der Pädiatrie
    SMPOPP – SwissMongolian Pediatric Project

    The World Health Organization (WHO) assumes that over 25% of the medicine sold in developing countries and about 50% of medicine ordered online are fake. According to WHO’s estimations, the death toll in Africa alone amounts to 100’000 per year due to fake medicine. As a reaction to these figures, numerous governments worldwide are releasing more restricting regulations for pharmaceutical products (packaging, seals, verification etc.) and are obliging the industry to ensure the traceability of corresponding products.

    The packaging plant manufacturer Gerhard Schubert GmbH considers it normal that his facilities ensure the total traceability of each product in every packaged unity and every packaging level (i.e. clusters, boxes and pallets) and thus meet the regulatory requirements of customers, as well as national and international requirements.

    It is crucial that the track and trace functionality, as well as the implementation of ERP functions does not negatively impact the output and performance of the production facility. Moreover, it must feature the flexibility to be adapted by the customer when requirements change and must show a complete audit-trail.

    Thanks to the modular architecture implemented by SCS, the various regulatory requirements concerning labelling and verification can be configured and expanded by the customer independently. Also, ERP systems of various manufacturers can easily be implemented. The integrated audit-trail ensures the required tracking of all relevant changes made to the system.

    Applied Technologies: Microsoft .NET/C#, SQL-Server, WCF

    The German company GLP Systems Ltd., based in Hamburg, is an innovative specialist in the area of information and automation systems for clinical laboratories. GLP Systems has revolutionized the sample transfer using a new approach: Similar to a Carrera race track, the sample vessels are individually moved through the laboratories and cold-storage rooms in intelligent CARs along lanes. Worldwide, lots of those systems are already being used, also in the Center of Laboratory Medicine at the Insel Hospital in Bern.

    Figure 1: The pool of empty CARs allows for an efficient and automatic filling on the right lane. In the Tube Assessment Center (TAC), at the right rear of the picture, the samples are classified reliably by the SCS computer vision system and start their individual route through the laboratory.
    Source: Center of Laboratory Medicine – Insel Hospital, Bern
















    Incorrect analysis results are being avoided thanks to the SCS computer vision solution: The samples are being classified in purely visual terms using their shape and color only. Practically, the world wide range of vessel types is a challenge, since their characteristics oftentimes only differ slightly. Using a statistical evaluation; those samples can be reliably identified despite their variations in production batches. Since the system automatically withdraws samples with unsure classifications, confusions are hence avoided. In those rare cases, employees check on the samples manually and guarantee for the mandatory safety.

    SCS Service Tool
    Figure 2: The SCS Service Tool allows a detailed status analysis. Thanks to rapid prototyping using MATLAB, the agile development took place quickly in a cost efficient manner and was soon ready for use.














    A service technician can quickly detect causes of uncertainties thanks to the SCS Service Tool: It analyzes and visualizes diagnostic images along with other data of the TAC. If required, a new series of images can be acquired and thus, the data pool used for the machine learning can be continually expanded. Applying this method, new types of vessels can easily be learned by the system. Moreover, new variations of known vessels can be understood better, therefore the recognition rate is steadily optimized.

    Picture 3: Thanks to swarm intelligence, the CARs drive autonomously through a variety of modules (TAC, centrifuges, cap removers, analysis devices etc.) This allows for an individual and cost efficient analysis of the blood samples according to the Industry 4.0 idea.  Source: Center of Laboratory Medicine – Insel Hospital, Bern

    Since the end of June, a wealth of both audio and video material is available to the journalists at Schweizer Radio und Fernsehen (SRF) in the FARO archive system.

    FARO is a media archive system which was custom-designed by SCS. The system has been in use at SRF since 2007, where it is used to archive all of SRF’s in-house productions. As part of the merger between radio and television, FARO should be equipped with new functionalities for archiving radio broadcasts.

    The extensions have now been successfully put into operation, thus paving the way for the management of audio material inside FARO. During the next twelve months, the contributions from the existing radio archive system will be gradually migrated to FARO. The migration takes place automatically and in parallel to the daily activities performed with FARO.

    Together with the SRF employees, SCS has conducted a needs assessment, drafted the specifications, implemented the extensions in the FARO archive system and finally integrated third-party components.

    Key Figures

    • Schweizer Radio und Fernsehen archives radio broadcasts since 1933 and television broadcasts since 1954. The archiving of radio programs remained very selective until 2006, and until 1990 the only video material that was archived were the TV reports, and not the entire programs.

    • FARO currently features more than 840,000 video recordings in its database, and another 880,000 audio recordings have recently been added with the integration of the radio archive.

    • The integration of the radio archive brings approximately 800 new users to FARO. FARO is thus now being used by around 2,500 users at SRF.
    • The total volume of the audio files to be integrated amounts to about 96 terabytes. 10TB are added annually to the radio archive. In addition, in the coming years up to 100 TB of audio files will be imported from digitization projects.

    SCS’s Contribution

    • Needs analysis together with SRF personnel
    • Specification and implementation of the planned extensions to the FARO archive system
    • Integration of third-party components


    The new media player with envelope curve view and audio level is an important part of the implemented extensions for the management of radio recordings.