SCS - Studienarbeiten

Stereo Vision allows accurately measuring scenes in 3D – provided that the cameras are well calibrated (camera pose, intrinsic parameters). Especially in harsh industrial or automotive contexts, the mechanical vibrations, temperature variations, and material fatigue affect opto-mechanical properties of the stereo-rig and its measurement accuracy.A jointly developed intelligent door opener (embedded stereo-system: reglomat.bircher.com) can detect, discriminate (humans, vehicles), and track 3D objects in real-time. This enables adequate door openings, e.g. suppressing cross-traffic and accounting for the object’s height to minimize energy loss in cooling storage applications. Because calibration drifts can cause e.g. inappropriate openings/closing, periodic or continuous recalibration of the stereo-rig is advantageous.The goal of this thesis is to explore, test and analyze different methods and algorithms for continuous stereo-vision calibration. The solution has to determine the extrinsic and intrinsic camera parameters without any markers or reference objects. Its performance will be measured mainly in overall accuracy, but also calculation time and memory consumption.

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SCS - Studienarbeiten

Der Golfschwung gilt als einer der komplexesten Bewegungsabläufe aller Sportarten. Für den Amateurgolfer besteht die Schwierigkeit darin, bei einem Fehlschlag den Fehler in seiner Bewegung zu erkennen und entsprechend zu korrigieren.

Ziel 1: Entwicklung einer Physik-Engine mit geeigneten Parametern für die Berechnung der Flugbahn des Golfballs.

Ziel 2: Automatisierte Analyse des Bewegungsablaufs des Golfspielers und gezieltes Erkennen fehlerhafter Muster. Dazu soll ein geeignetes Verfahren ausgewählt und umgesetzt werden, wie z.B. Vergleichen mit Bewegungsabläufen von Profis.

Der Simulator soll mit Low-Cost COTS Komponenten aufgebaut werden.

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SCS - Studienarbeiten

Pediatricians and general practitioners use ultrasound for diagnostic purposes in their office. Ultrasound is fast, reliable, safe, and is seen as the visual stethoscope of the 21st century. Standardized, high-quality examinations depend on the exact position of the transducer for transmitting and receiving the ultrasound beam. However, the correct plane defining the image cross section obtained from the patient is often difficult to achieve.Advanced technology might support physicians with feedback based on automated analyses of examinations by ultrasound. We will use the example of ultrasound-based diagnosis of developmental dysplasia of the hip (DDH) in newborns to suggest such an approach using Neural Networks.

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SCS - Studienarbeiten

Today’s Machine Learning algorithms rely on large data sets of ground truth. Especially for medical use cases the lack of appropriate data for training can be a limiting factor for successful Deep Learning. For some imaging problems, the creation of synthetic ground truth can effectively overcome the lack of original ground truth and enable successful learning.In this work we aim to explore the potential of synthetic ground truth for tumor segmentation in medical imagery of eyes. The student will work with 3D stacks of optical coherence tomography (OCT) images. The currently implemented Convolutional Neural Networks (CNNs, e.g. U-net) shall be extended to segment tumors using both synthetic ground truth data and state-of-art CNNs.

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SCS - Studienarbeiten

Die wachsende Transparenz im Niederspannungsnetz ermöglicht es unter anderem transiente Vorgänge hochauflösend aufzuzeichnen. Somit wird es denkbar, mit geeigneten Algorithmen die Fehlerstelle im Störungsfall zu lokalisieren, wie es heute nur auf höheren Spannungsebenen gemacht wird. Die Kosten für die Suche nach der Fehlerstelle und die Interventionszeiten der Netzbetreiber könnten somit gesenkt werden und damit wird ein Mehrwert geschaffen.Im ersten Schritt soll der Student im Rahmen seiner Arbeit die bestehenden Fehlerortungsalgorithmen auf deren Anwendbarkeit im Niederspannungsnetz untersuchen und eine Evaluation vornehmen. Im zweiten Schritt soll ein geeigneter Algorithmus implementiert und mittels simulierter Daten getestet werden. Zudem sollen Versuche im ewz Labor durchgeführt werden, um echte Messdaten zu gewinnen.

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SCS - Studienarbeiten

A large part of the medical imaging data available today is available in 3D. This is true for example for magnetic resonance imaging data, computed tomography scan data and many other techniques. This is advantageous as it allows drawing conclusions based not only on single images but taking into account more information. Many medical images have to be further processed by segmenting different objects in the images such as bones or tissue layers. In the past years, the analysis of 2D medical images with Deep Learning methods has become a standard in research. With more and more computing power available, the focus is moving towards 3D analysis to profit from more spatial context.

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SCS - Studienarbeiten

eVoting is an unsolved problem, mainly because of security concerns connected to centralized IT systems. Blockchain technology enables new ways to solve IT problems in a transparent, tamper-proof and decentralized way. However, scalability of such solutions is still unsatisfactory and there’s still no solution that provides privacy of the single voter and transparency of the overall voting process at the same time.This master thesis aims at implementing a voting solution that scales to Swiss national votes. The technologies to be used could include zero knowledge proofs (zk-SNARKS), homomorphic encryption and smart contracts on a public blockchain (i.e. ethereum). Different layer-two technologies shall be evaluated to provide scalability for this use case.

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