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.
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.
In parking facilities with many charging stations, simultaneous charging current can overload the building's main connection. SCS, together with EKZ, developed a manufacturer-independent gateway that controls charging stations from various manufacturers via OCPP and dynamically distributes the available power.
According to the Electricity Supply Ordinance, grid operators must enable their end customers to read real-time measurement data from smart meters. SCS developed a lean open-source solution for EKZ that reads this data locally and processes it in an understandable way.
Camera-based driver assistance systems must process video images in real-time. SCS ported computationally intensive algorithms such as SGM-Stereo, Optical Flow, and Stixel to an FPGA platform, allowing them to be tested directly in moving test vehicles. The implemented algorithms are now in series production.
SCS developed an explainable machine learning algorithm for SBB that calculates the forces between wheel and rail from acceleration sensors on the bogie, eliminating the need for maintenance-intensive sensors on the rotating wheels.
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