Practical semester or thesis: Development and evaluation of AI-based methods for wear detection on tool cutting edges

As part of a research and digitalization project, HEIDELBERG offers students the chance to complete a practical semester or a thesis in the fields of manufacturing technology, image processing and artificial intelligence. The goal is to develop and evaluate innovative approaches for automated wear detection on tool cutting edges.

• Digitalization of the manual evaluation process: analysis and structuring of the existing manual evaluation process
• Development of a digital documentation concept based on a photo microscope and a standardized evaluation scheme
• Selection of suitable camera technology and design of the technical integration into existing IT systems
• Consideration of the entire tool interface process, including integration into tool presetting and the return from the machine
• Systematic research of national and international research activities on AI-based wear detection
• Identification and analysis of potential software providers for AI-supported image evaluation
• Comparison and evaluation of the identified systems regarding functionality, requirements and practical suitability
• Carrying out initial function or prototype tests with selected tools (depending on the scope of the assignment)
• Development of an evaluation model for the economic assessment of the potential implementation
• Estimation of benefits, effort and series readiness
• Preparation of a well-founded recommendation for action

• Studies in an engineering or technical degree program (e.g. mechanical engineering, production engineering, mechatronics, computer science)
• Interest in manufacturing technology, image processing and AI methods
• Analytical thinking and a structured, independent way of working
• Advantageous: basic knowledge of AI methods, image processing or programming