Munich, Bavaria, Germany
• Technical project management and product owner • Responsible for the delivery as part of the EU-funded research and innovation program "Assets for Rail" • Development of a modern, universally applicable, modular measuring platform • Development of a measuring unit for the detection of stray current corrosion • Product development of a cable monitoring device • Development tasks in the field of vibration analysis • Development tasks for reading/writing of fast-moving RFID chips
The electrical installation company (master craftsman's business) elektro030 provides professional and modern solutions with employed students in the field of electrical installation.
The mobile prototype is able to perform preventive maintenance tasks in the railway area. Statements can be made about the condition of the track sections using the camera system and custom developed flash system. With the help of the integrated CNN (Convolutional Neural Network), data can be visualised to indicate the probability of material fatigue and maintenance schedules can be estimated.
Title of the master's thesis: "Deep Learning based camera system for train based track inspection using Convolutional Neural Networks".
Title of the bachelor thesis: "Real-time environment sensing for self-driving cars using heterogeneous multi-core processor", Grade: 1.3 Bachelor thesis (3 months): • Extension of the Vision-SDK SW framework to eight high-speed data streams • The TDA2Ex (SoC)-EVM and the ADAS sensor fusion board served as the basis for the project. Practical phase (3 months): • Configuration extension of the TIDA-00455-EVM • Integration of monitoring and processing of system statuses and video data streams