Building innovative solutions for complex visual problems, from object detection pipelines to production cloud and edge deployment. Currently Lead CV Engineer at Technology Data Reply IT, Milan.
Federico Favia
Estimates naval traffic in Venice from a webcam video of the Grand Canal using motion detection algorithms — adaptive background subtraction, morphological filters, and blob detection to count boats and compute flow rate, integral average, and median.
View on GitHub ↗
Image classification via a Visual Search System built on a hierarchical K-means tree. Features represented by SIFT keypoint descriptors, scored with TF-IDF using the Bag of Visual Words model.
Bachelor Thesis at Xtensa Srl — comparing deep learning based tracking with YOLOv3 against classic algorithms like Mean-shift for football player detection and tracking.
Investigation of two popular scale-invariant feature detectors — SIFT and SURF — for feature extraction and image matching using nearest-neighbour distance ratio.
Interactive 3D Solar System demo with keyboard navigation and .jpg textures on planets, rendered with GLEW and GLUT.
Multimedia Data Security project detecting and localizing tampered image artifacts using PRNU-based and JPEG-based forensic techniques.
Personally created and designed the logo for the Engel startup during the Startup Lab Course at Clab — University of Trento, using Adobe Illustrator.