Deep Learning based detection and correction of print defects like missing nozzles in real-time, without any setup or operator intervention. A custom CNN detects defect position and severity. This enables a closed loop where print quality can be continuously assessed and adjusted in real-time.
Our expertise in data balancing for semantic segmentation enhances deep learning models by dynamically rebalancing class distributions during training. Through our published work on Dynamic Label Injection (DLI), presented at the ECCV 2024 VISION Workshop, defects are seamlessly transferred using Poisson-based image cloning and cut-paste techniques, ensuring more effective learning. This approach improves model performance, even in challenging weakly-supervised settings.
Our expertise in synthetic data generation enhances industrial vision models by leveraging diffusion models conditioned on easily obtainable labels like bounding boxes or sketches. This approach maximizes the amount of labeled data with minimal human effort, creating high-quality, diverse datasets that improve the accuracy and robustness of tasks like semantic segmentation.
AI accelerators and vision processors enable efficient deep learning applications on edge devices while minimizing power consumption. Our expertise lies in deploying production-ready machine learning solutions at the embedded edge, specializing in neural network optimization, quantization and pruning. We achieve cutting-edge high-performance inference across diverse SoCs and embedded platforms, including Hailo, Qualcomm, SiMa and Axelera hardware.
We specialize in high-precision 3D reconstruction, combining advanced imaging technology with state-of-the-art methods. Using high-resolution industrial cameras, tailored illumination setup, structured light, and high-bandwidth networking, we capture data that is processed by our methods, which leverage differentiable physically based and neural rendering to create highly detailed and realistic 3D models. Our expertise in 3D reconstruction contributed to the creation of the Covision Media spin-off.
