NovelSense

Developed in many years of research projects with industry, we have a strong background in the planning and execution of experimental investigations on leading edge sensor technology and novel application scenarios. Our expertise covers top notch methods and algorithms for offline and real time data analysis independent of type, size and origin. It also includes a variety of sophisticated approaches to assess discovered models and relations to guarantee practical relevance. We have deep knowledge in the design, implementation and optimization of embedded classification and sensing systems with real time requirements, high frequency sensor data visualization and online processing systems for streaming big data. NovelSense uses leading edge data analytics and experimentation methods to transform low-cost COTS devices into novel sensors with costs at a fraction of the competition while delivering state of the art or superior performance. Our offerings include novel sensors for the Smart City, Industrial Automation, Smart Traffic and Property Security markets. A speciality of NovelSense is the use of typical wireless communication signals as sensors, effectivly enabling cheap sensing-capabilities in all kinds of connected IoT hardware. The company is backed by a motivated and powerful team which has worked together sucessfully for years in an industry-close academic environment. Sascha is an industrial engineer with experience in business development, sales and consulting. He is the chief strategist at NovelSense. He also holds a Master of Science degree in Innovation Management. Vincent is the creative director at NovelSense. He is passionate about data analysis, feature engineering and embedded sensor development. He holds a Master in Computer Science. Beside this he has experience in pushing ideas into business. Markus is the AI Expert at NovelSense. His passions are data analysis, online algorithms and visualizations. He holds a PhD in Computer Science from Karlsruhe Institute of Technology. He has extensive ...