Waldkirch: Thesis: Evaluation of AI-supported object recognition for a safety-oriented 3D camera

Winter Semester 2025/26 - limited to 5-6 months

YOUR TASKS:

• Research existing AI algorithms for image-based object detection and classification.
• Analyze and evaluate these algorithms for their suitability with a high-resolution 3D-ToF camera.
• Select an appropriate external target hardware for algorithmic image processing.
• Define requirements and establish key criteria for system integration.
• Develop a prototype for 3D-supported object recognition and integrate it into the target hardware.
• Test functionality in the lab environment based on defined key parameters.

YOUR PROFILE:

• Studies in computer science, electrical engineering, physics, mechanical engineering, or a similar technical field.
• Basic knowledge in developing and applying AI algorithms, ideally in image-based object detection.
• Experience in programming with Python, C++, or a comparable language.
• Interest in 3D image processing technologies and ToF cameras.
• Independent, structured working style and analytical thinking skills.

YOUR APPLICATION:

• We are looking forward to your online application
• Sarah Disch
• Job-ID 36891 
• All applications will be treated confidentially

*At SICK, we see people, not gender. 

We put great emphasis on diversity, reject discrimination and do not think in categories such as gender, ethnicity, religion, disability, age or sexual identity.

Stichworte: Abschlussarbeit