Computer Vision Intern – Safe Human Detection (m/f/d)

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Description

WHAT WE ARE LOOKING FOR We're looking for a motivated Computer Vision Intern (ideally 6 months, mandatory internship) to join our Safety Systems team in Schönaich (close to Stuttgart), with a flexible start date. If you're passionate about real-time 3D perception and want to contribute to safety-critical systems that keep people safe around humanoid robots — this is a uniquely impactful place to develop your skills. HERE'S WHERE YOU MAKE AN IMPACT Implement and benchmark 3D person detection algorithms that fuse depth, RGB, and point cloud data — the core perception layer for knowing where humans are relative to the robot at all times Build and integrate Safe Human Detection (SHD) prototype pipeline, turning raw sensor data into actionable, safety-relevant information Develop test harnesses and validating that the safety interface behaves correctly under all defined conditions Run benchmarking and data collection to generate the kind of reproducible, documented evidence that a real certification process requires WHO YOU ARE Enrolled MSc student in Computer Science, Electrical Engineering, or Robotics — with a strong interest in applied perception and real-world systems Strong Python skills and working knowledge of C++, with the ability to move between rapid prototyping and more structured, maintainable implementation Experience with computer vision and 3D depth sensing — RealSense, Azure Kinect, or similar — and a genuine understanding of what the data actually represents Fami

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