planblue
Nils Öhlmann has a diverse work experience in the engineering field. Nils started their career as an intern at KUKA Robotics in 2014, where they were involved in developing KUKA youBot applications and providing customer support for universities. From 2016 to 2017, Nils worked as a student assistant at BIMAQ, contributing to research projects such as evaluating PLCs for real-time applications and analyzing power consumption and renewable energy production data using Matlab. Since 2018, they have been working at PlanBlue GmbH as a Development Engineer, focusing on the development of an underwater satellite system for SeafloorAtlas. Nils'sresponsibilities include software development, hardware integration, sensor/camera evaluation, and test planning and execution. Nils is passionate about interpersonal relations and communication, as well as raising awareness for important issues within the work environment.
Nils Öhlmann has a strong educational background in Systems Engineering, specializing in Robotics and Automation. From 2011 to 2015, they pursued their Bachelor's degree in Systems Engineering at the University of Bremen. Building upon this foundation, from 2015 to 2018, Nils continued their studies at the same institution and earned their Master of Science degree in Systems Engineering, further specializing in Robotics and Automation.
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planblue
PlanBlue offers a new seafloor monitoring technology that is changing the way they map, assess and even understand our seafloor: the “DiveRay” and the accompanying software. The DiveRay is an intelligent underwater camera, that automatically scans seafloor areas, as well as lake bottoms and river beds. It makes use of hyperspectral imaging, and itssoftware is based on machine-learning algorithms. The DiveRay significantly reduces the time spent both below and above water (i.e., monitoring underwater and data analysis/interpretation on land). Any experienced diver can use the DiveRay, it is not limited to experts-only. The rich data obtained by the DiveRay is objective (i.e., independent of the person analyzing the seafloor data) and can easily be compared to future studies.