pd|z Product Development Group ZurichOpen OpportunitiesDrying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Drying (e.g. Pasta drying) is the most energy intensive process step, sometimes taking up more than 50% of the total energy consumption of a plant. Superheated steam drying could present an energy efficient alternative to classical hot-air drying systems used today. This new technology could have a massive impact on the carbon-footprint and sustainability of food-drying; making it a highly future-oriented and potentially impactful innovation. - Interdisciplinary Engineering, Manufacturing Engineering, Mechanical and Industrial Engineering
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| The goal of this thesis is to create a system for 3D semantic segmentation of anesthesia procedures from multiple RGB-D cameras. We are looking for a motivated student who is passionate about applying machine learning and computer vision methods and working with a multi-camera setup in a surgical setting. - Artificial Intelligence and Signal and Image Processing, Computer Software, Information Systems
- Master Thesis, Semester Project
| The goal of this thesis is to create a system to perform Hand-Tool Pose Estimation during Surgical Tool Usage. We are looking for a motivated student who is passionate about applying machine learning and computer vision methods and working with a multi-camera setup in a surgical setting. - Artificial Intelligence and Signal and Image Processing, Computer Software, Information Systems
- Master Thesis
| The goal of this thesis is to create a system that combines multiple RGB-D cameras and IMU sensors attached to a human to create a context-aware robot arm support system for manual assembly. By combining the low-level sensor information with large vision-language models, such as CLIP and GPT4, this thesis will explore how to extract context-awareness from manual workflows and use this for optimal autonomous robot assistance. - Artificial Intelligence and Signal and Image Processing, Computer Software, Information Systems
- Master Thesis
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