David Zibriczky Ph.D.
Director Data Science
Real-time applications of Computer Vision in Logistics
In the recent years, Computer Vision became an essential part of the AI strategy in large industrial companies. In logistics, we also identified several use cases of this technology and supported the digital transformation by introducing Video Analytics-based applications. In this technical talk, we present two use cases at DB Schenker, namely ILU Code and License Plate Detection for Yard Management, and Multi-Camera Object Detection and Tracking in Warehouses, with the focus on Object Detection (OD) and Optical Character Recognition (OCR) techniques. We also give an outlook on further use cases and relevant research directions in this field.
David Zibriczky is employed by DB Schenker in the role of Director Data Science. He is responsible for supporting innovation by finding and rolling out Data Analytics and AI solutions with cross-functional tech teams for the business. He holds M.Sc. in Computer Science and Ph.D. in Business and Management. David has 14 years of experience in building end-to-end machine learning solutions for various business problems for start-ups and big corporations in Germany and Hungary. David is also passionate about academic research, he co-authored several peer-reviewed scientific articles in Machine Learning and Quantitative Finance.