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.
Biological contaminants in the air can contaminate medications during pharmaceutical production. SCS developed the software for MBV's latest generation of portable air samplers. It precisely monitors the sampling process, detects potential errors, and logs relevant operations in a traceable manner.
Counting cells in microscopy images was previously a time-consuming manual process. SCS developed a deep-learning algorithm that automatically counts cells and delivers fast, reliable results even on a standard lab PC.
Space is at a premium in the intensive care unit. Together with Luciole Medical, SCS developed the miniaturized, laser-based neuromonitoring spectrometer RheoControl. It monitors critical brain parameters at the bedside and, instead of the original control-cabinet-sized system, now only requires about the space of a palm.
Biomedical image data quickly reaches several terabytes, pushing traditional web applications to their limits. SCS developed a powerful web viewer for ariadne.ai that fluidly displays microscopy images, segmentations, and analysis data, even with very large data volumes.
Optical coherence tomography provides high-resolution 3D images of the eye. SCS developed an AI model for the automated segmentation of medically relevant structures in OCT scans. In a scientific study, the accuracy of the eye segmentation proved to be comparable to human evaluations.
Zurich-based startup Aramedes combines traditional watchmaking with modern electronics. SCS developed the complete electronics and firmware for the watches, as well as the corresponding smartphone app.
If a single component becomes obsolete, the entire system does not have to be replaced. SCS specifically modernizes hardware and software, preserves existing infrastructure, and simultaneously creates room for new functions.
Networked household appliances must be protected against unauthorized access and manipulated data. SCS developed a Public Key Infrastructure for V-ZUG that equips every IoT-capable device with an individual digital certificate and secures communication with the V-ZUG cloud.
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