Skin Tone Estimation
This system for skin tone estimation is a useful tool for beauty products recommendation. In addition to the estimation model itself, the system contains image preprocessing tools which makes it robust in all lighting environments.
Improving deep learning model performance with synthetic data
Machine learning model performance is tightly connected to the quality of the data used in the training process. By using syntehtic data, the quality and the size od the training data can be greatly expanded.
Enhancing RGB images with multispectral data
Our deep learning model brings multi spectral data to standard RGB images, providing valuable spectral information without the need for expensive specialized cameras.
Vision-based On-Orbit Inspection for Optimal Solar Panel Deployment
Multispectral cameras are expensive and hard to acquire, especially the ones with proven flight herritage. Creating a module that enables multispectral measurements would help bridge the gap between functionality and cost-awareness.
Visual Quality Inspection of Bottle Packaging
Using machine learning and computer vision we can detect defects in various bottle formats while integrating seamlessly with existing production lines. This system offers high accuracy, low false positives, unmatched processing speed effictively increasing efficiency and reducing cost.