AMD Premier Partner
SCS has been an AMD Premier Partner (Xilinx Alliance Partner) since 2003, developing FPGA, hardware, and embedded solutions on AMD platforms, ranging from radar signal processing to automotive measurement technology.
SCS has been an AMD Premier Partner (Xilinx Alliance Partner) since 2003, developing FPGA, hardware, and embedded solutions on AMD platforms, ranging from radar signal processing to automotive measurement technology.
SCS developed a radar demonstrator based on the AMD Versal Edge platform. The flexible Imaging Radar Toolkit processes radar data quickly and energy-efficiently using vector processors, serving automotive developers as a platform for radar technologies in autonomous driving.
SCS developed the Electronic Ground Support Equipment (EGSE) for the aerospace supplier HTS, which was used to test the Gradflex experiment of the Foton-M3 mission prior to its flight into space.
Fully opened industrial gates cause unnecessary energy loss. Together with Bircher Smart Access, SCS developed Hyperion 3D, a stereoscopic image processing system that opens gates only as high as necessary and closes them again as early as possible.
Burckhardt Compression designs and dimensions reciprocating compressor systems globally across various locations and regulatory frameworks. For this, SCS developed PlantCalc, a calculation software that supports engineering and enables cross-location collaboration.
In the semiconductor industry, leaky pipe connections can cause enormous damage. SCS developed an image-based inspection method for Georg Fischer that automatically assesses the quality of weld seams.
The Danish railway Banedanmark needs to digitize over 10,000 cable diagrams; purely manual entry would take years. SCS won the international competition for ideas with a concept designed to automate large parts of this work using learning systems.
Data is often unprotected during processing. SCS combines blockchain with Trusted Execution Environments so that sensitive data remains protected even during processing, making it verifiable which code is processing it.
In the TARO research project, SCS investigated for ÖBB how private blockchain technology can enable safety-critical interlocking logic on standard computers. The concept, prototype, and simulator demonstrated technical feasibility for regional railway applications.
SRF journalists rely on archival material dating back to the 1950s. To support this, SCS developed the Faro media archive, which makes audio and video material quickly searchable and transfers selected content directly to the editing suite.
Obtaining a second opinion is often time-consuming for ophthalmologists. SCS developed the IOBnet web platform for the Institute of Molecular and Clinical Ophthalmology Basel. It allows ophthalmologists to upload anonymized cases and obtain an expert opinion with just a few clicks.
Undetected hip malalignments in newborns can necessitate extensive treatment later in life. SCS developed deep learning algorithms that objectively determine the Graf alpha angle in ultrasound images of infant hips and support physicians in their assessment.