AI2FUTURE2020 – 2 days, 20+ moving & inspiring discussion and presentations

15th & 16th of October 2020, Kraš Auditorium, Zagreb, Croatia, LIVE & VIRTUAL
Visage Technologies

Gordan Kreković


Gordan Kreković is the CEO of Visage Technologies, a company creating computer vision software for automotive applications, but also specific solutions for tracking, analyzing, and recognizing human faces intended for various application fields and industries. With a PhD degree in Computing acquired at the Faculty of Electrical Engineering and Computing, University of Zagreb and more than 10 years of professional career in managing software products, teams, and companies, Gordan has a broad experience that interconnects research, engineering, and management.

Prior to joining Visage Technologies, he worked as the Head of Product Management at NTH Group, the CEO at AdCumulus, and the Data Science Lead at Bellabeat. While managing AdCumulus, focused on building AI-driven software for mobile and online advertising, the company scaled from its first customer to a sustainable business. A different set of challenges characterized his role at Bellabeat where he participated in creation of a personalized virtual health coach and worked on multiple machine learning algorithms for smart devices.

Gordan  is the co-author of around 20 journal and conference papers presented at international scientific events and he is still an active researcher with continuous engagement.



Computer Vision in Automotive: A Crucial Piece of the Autonomous Driving Puzzle   

While long-awaited autonomous vehicles are still finding their way around, their progress has been significantly accelerated following the pace of amelioration in AI. One unavoidable component of automotive AI is computer vision technology that allows vehicles to process and use visual information collected from outward-looking cameras, but also from driver- and passenger-monitoring systems. From emergency safety braking, detecting traffic lights, and assisting drivers to keep within lane marks to detecting driver’s fatigue, distraction, and identity (to unlock the engine or to personalize the experience), applications of computer vision in cars are numerous and relevant.

The automotive context brings a lot of wonderful research and engineering challenges due to complexity of scenes, various lightning and weather conditions, embedded hardware platforms, and practices of working in the automotive industry. This presentation will unveil some of these challenges from the perspective of a computer vision company with international experience with tier 1 providers and automotive OEMs.