Functie TOPIC This topic presents an internship opportunity focused on developing privacy-preserving AI techniques for camera-based systems used in industrial environments. The project aims to ensure human privacy by anonymizing identifiable attributes in videos while retaining useful data for analysis. Privacy-preserving AI model: An auto-encoder based model has been developed by IDLab Ghent and Flanders Make to hide identifiable human features such as tattoos and glasses in videos, enabling downstream algorithms to still extract key insights like human 2D keypoints. This model is integrated into a two-stage demonstrator involving segmentation and filtering of images. Internship objectives: The internship involves designing a robust toolbox from the existing demonstrator, implementing anonymization metrics, benchmarking real-time segmentation models, testing different camera models, investigating human re-identification on filtered images, and pre-training the auto-encoder with simulation data validated on real-world data. Profiel CADIDATE PROFILE Suitable candidates should hold a bachelor’s degree in computer science with knowledge of computer vision models, especially human keypoint estimation, and possess qualities such as research passion, responsibility, proactivity, good English communication, eagerness to learn, and teamwork skills. Aanbod PRACTICAL DETAILS The internship lasts between three to six months at Flanders Make in Leuven, Belgium, with eligibility limited to EEA or Swiss nationals due to work permit regulations. The project can also serve as a master thesis topic for students at Belgian universities. Flanders Make is a research center that supports sustainable innovation in industry through collaboration with academia and companies. Bijlagen Download this topic here.