AI app detects road damage – final thesis at Arineo

For Sebastian Kampen, a business informatics student from Göttingen, Arineo is the ultimate in corporate culture. But the still young IT service company also convinces him professionally. So it's no wonder that he goes from being an intern to a working student.

Students of computer science, business informatics or business administration can join Arineo as working students or interns in various customer or innovation projects. Göttingen student Sebastian Kampen took advantage of this opportunity to gain valuable practical experience in the field of artificial intelligence.

Sebastian Kampen was also able to write his bachelor’s thesis at Arineo under the expert supervision of the AI team led by Dr. Gerhard Heinzerling: “As an IT service provider, Arineo offers a broad portfolio in the field of artificial intelligence, such as image, sound and video processing. The AI team is currently working on a project to detect road damage in cities using images. My involvement in the project gave me the idea for my final thesis,” explains Sebastian Kampen. The scientific supervision was taken over by the Chair of Information Management of Prof. Kolbe, who has already conducted scientifically investigations on the topic of “Image recognition for road conditions” within the Smart Mobility Research Group.

Arineo’s AI project includes an artificial intelligence app that takes and processes photos of road damage. It then classifies and subsequently reports the road damage. The city council can then quickly award the appropriate repair contract to a suitable road construction company. This saves time and personnel costs, as the damage would otherwise have to be recorded and processed manually by the city [1].

Sebastian Kampen’s thesis for the completion of his business informatics degree specifically involves the development of a mobile app for the classification of road damage and this in the context of road maintenance itself. “Sebastian worked with us to answer his research questions using the concept of neural networks to classify images, which we also use with our B2B customers. The road damage app is a great example of the diverse use of AI to optimize business processes. Image recognition can be used in almost all industries and areas of application,” reports Dr. Gerhard Heinzerling, Senior Data Scientist at Arineo.

Arineo congratulates Sebastian Kampen on the very good results of his bachelor’s thesis (grade 1.3) and is delighted that he will continue to be involved in the Artificial Intelligence portfolio area.

[i] For example: Chatterjee, S., Saeedfar, P., Tofangchi, S. and Kolbe, L. M. (2018). Intelligent Road Maintenance: A Machine Learning Approach for Surface Defect Detection. In: European Conference on Information Systems (ECIS), Portsmouth, UK, pp 1-16.

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28. November 2022
Update: 1. July 2025

Ariane Mühlethaler

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