The APE Innovation GmbH is a company that focuses on the good things in life. Artificial intelligence being one of them. APE Innovation was founded to serve the world with new ideas. Our mission is to bring innovation into your life.
our area of expertise revolves mainly around artificial intelligence but sometimes we do other cool stuff too
Anomalies significantly deviate from the norm and are often unknown until they occur. Their detection is of great importance in a wide range of areas. E.g., (early) detection of mechanical failure, fraud, crimes, health problems and manufacturing defects. #DefectDetection #OutlierDetection
3D data is generated and processed in many contexts, e.g., medicine. Medical imaging techniques such as computed tomography create 3D body scans that can be further processed using AI. For instance, for malignant tumor detection. #3DSemanticSegmentation #3DObjectDetection
Compared to purely native apps, cross-platform mobile applications with a single codebase for iOS and Android are developed rather quickly. We preferably build apps with #Xamarin and #Flutter. #AndroidStudio #XCode
Automated re-Identification of individuals and objects is usually performed using image processing. In humans, the face is a common feature used for recognition. In animals, individual coat patterns can be a visible, unique recognition feature. #ReID #FaceRecognition #ObjectRecognition
Non-destructive testing allows checking for anomalies inside the samples without destroying them. That's especially useful for high-value samples like #wafer or #humans. We have experience in automated non-destructive microscopy data evaluation. #SAM #XRay #CT
Quantitative Data Analysis means extracting insights from information in a comprehensive form. #Reports #Statistics #Measurements
we do #science @Aalen University
2020 International SAUPEC/RobMech/PRASA Conference, pp. 1-6
Proc. SPIE 11601, Medical Imaging 2021: Imaging Informatics for Healthcare, Research, and Applications, 1160114
2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), pp. 1320-1325
Journal of Image and Graphics, Vol. 10, No. 1, pp. 17-27
