Computer Vision

in a nutshell

I am a Research Professor in Computer Vision, focusing on AI-driven solutions for industrial applications. My work combines image processing, machine learning, and Edge AI to deliver efficient, secure, and scalable systems.

Key Areas of Expertise:

Real-Time Object Detection & Tracking
Identifying and localizing objects in images or videos, continuous tracking, and extracting insights such as movement patterns and anomalies.

Edge AI for Quality Assurance
AI-powered 2D/3D anomaly detection integrated into camera systems for fast, energy-efficient, and data-sovereign inspection processes.

Model Compression
Optimizing AI models for resource-constrained hardware to enable low-latency, real-time processing without cloud dependency.

Software Licensing & IP Protection
Expertise in safeguarding software and intellectual property through technical and legal measures.