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Why work with us?
APE Innovation GmbH
science
computer vision experts expertise
we strive to make a positive impact.
#DoingGoodThings
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How we can help you
Machbarkeitsstudien
vhjvjh Would you like to know weather a project is tchnically feaible? activities, research, run experiments and document the results
Prototyping
Educational Services
Keynotes & Vorträge
Unsere Expertise
What we can help you with
Generative KI
Bildverarbeitung | Computer Vision | 3D- und 2D-Bilddatenanalyse | Automatisierte Qualitätssicherung | zerstörungsfreie Prüfung | Erkennung von Anomalien
Computer Vision
Bildgenerierung | Text Generation | Prompt Engineering | Streamlining Labor-intensive Tasks Like Writing, Coding, and Reading agentic systems image processing | object detection | semantic segmentation | instance segmentation | zerstörungsfreie Prüfung | Anomaly Detection Image classification
Forschung
Multi Agent Systems | Custom Chatbots | Reasoning | Agentic RAG | Opensource und firmeninterne KI Software | KI Integration
Computer Vision for
Conservation & Agriculture
individual animal re-identification, object detection
Computer Vision for
Conservation & Agriculture
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Computer Vision for
Industry
Automatisierte Qualitätssicherung
We stand for new work
Das Team
Wir erwecken Innovation zum Leben
Bisherige Forschung
We do science @Aalen University
Towards Automated Chicken Monitoring: Dataset and Machine Learning Methods for Visual, Noninvasive Reidentification
Daria Kern, Tobias Schiele, Ulrich Klauck, Winfred IngabireAnimals, Special Issue: Automated Monitoring of Livestock and Poultry with Machine Learning Technology, Volume II · Dec 24, 2024
Low-shot Visual Anomaly Detection with Multimodal Large Language Models
Tobias Schiele, Daria Kern, Anjali DeSilva, Ulrich KlauckProcedia Computer Science Volume 246, 2024, Pages 2587-2596
Lazy Labels for Chicken Segmentation
Tobias Schiele, Daria Kern, Ulrich KlauckProcedia Computer Science Volume 225, 2023, Pages 2664-2673
3D Bounding Box Detection in Volumetric Medical Image Data: A Systematic Literature Review
Daria Kern and Andre MastmeyerJournal of Image and Graphics, Vol. 10, No. 1, pp. 17-27
Comparison of deep learning-based image segmentation methods for the detection of voids in X-ray images of microelectronic components
Tobias Schiele et al.2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), pp. 1320-1325
2D vs. 3D U-Net abdominal organ segmentation in CT data using organ bounds
Daria Kern, Ulrich Klauck, Timo Ropinski, André MastmeyerProc. SPIE 11601, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, 1160114
Archiving 4.0: Application of Image Processing and Machine Learning for the Robben Island Mayibuye Archives
Daria Kern, Manuel Zweng, Stanley Sello, Antoine Bagula and Ulrich Klauck2020 International SAUPEC/RobMech/PRASA Conference, pp. 1-6
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