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Our vision is to enable the unimaginable with computer vision technology created in a harmonic workplace. To do that, we keep developing our knowledge and skills in the fields of computer vision, machine learning, computer graphics and general computing, and using this critical mass of knowledge and expertise to deliver world-class products and services to our clients.
Founded by computer scientists, Visage Technologies promotes research collaboration with academic institutions to this day.
The company’s founders were among the main contributors to the MPEG-4 Face and Body Animation International Standard, so it’s no wonder that our first focus was on face and character animation.
Visage Technologies has quickly adapted to strong market demands and focused on face tracking and analysis.
Our new office was opened in Zagreb, where we’ve soon gathered an amazing team of experienced engineers
A new division of our company was formed for the purposes of exclusive collaboration with a major automotive company.
We have grown rapidly in the last few years, and currently have 130 engineers in our ranks who, together with our core scientific team, are making sure Visage Technologies stays at the forefront of computer vision technology.
Computer vision and graphics researcher and professor at Zagreb University
Computer vision researcher and Adjunct Senior Lecturer at Linköping University
Information coding, video compression and optical networks researcher and Professor at Linköping University
Senior Research and Development Engineer at Visage Technologies’ Automotive Division
Director of Solutions and Custom Development at Face Technology Division
Here at Face Technology Division, we are passionate about reading human faces with technology. We build powerful computer vision algorithms that obtain as much information as possible from human faces in images and videos. Our software tracks human faces, estimates their age, gender and emotions, and, finally, verifies their identity.
Automotive Division was formed exclusively for an R&D collaboration project with a major automotive safety supplier. The division develops smart algorithms for ADAS (Advanced Driver-Assistance System). By using computer vision to detect and classify objects visible by the vehicle’s camera, we are helping make autonomous driving safer.
The combination of extensive experience, continuous research and education, and client-centric approach makes us a reliable technology provider for 300+ clients worldwide.