Computer Vision & Tracking
Object detection with YOLO, multi-object tracking and person re-identification, from 99%-accurate people counting to weed detection.
Computer vision, plate recognition and OCR, medical imaging, generative AI and NLP: designing, training and deploying models that actually work in real projects.
DOMAINS
AI is not one thing; it is a set of branches, each solving a different kind of problem. These are the main ones:
Object detection with YOLO, multi-object tracking and person re-identification, from 99%-accurate people counting to weed detection.
Complete plate recognition for parking and access control: YOLO for localization and CNN/RNN-based OCR for reading characters.
Dental image analysis and automatic tooth detection with U²-Net, YOLO and GANs, for orthodontic diagnosis and treatment planning.
Simulating cosmetic procedure outcomes with generative models, and using Stable Diffusion in automated image and audio pipelines.
Automatic reading, classifying and routing of thousands of letters with OCR and NLP, plus an enterprise chatbot for semantic document search.
Running a vision model on an agricultural robot for spot spraying, which cut herbicide use by up to 75%.
ARTICLES
If you have a project in this field, tell me about it and I will be with you from idea to delivery.