VicarVision develops state of the art solutions and products for computer vision. Plugging a camera into a computer is an easy first step, but how can you make a machine see things? How can algorithms extract meaningful interpretations from a stream of pixels? The technologies we develop are aimed to create vicarious perception. We want our machines to perceive and name the objects and events presented to them through cameras, in the same way that we would; so they can keep an eye on things for us.

Field of interest

VicarVision has a special interest in perceiving people’s behavior. FaceReaderâ„¢ is the premier product for automatically evaluating emotional expressions in the human face. It is used in behavioral research institutes all over the world in studies assessing the usability and user experience of software systems, food preference and video conferencing interactions, to name a few. BodyReader gives real time estimates of human pose and other articulations of the human body. GazeTracker follows the direction of attention of a person watching a screen, using a conventional webcam. Vicar Analytics combines all of VicarVision’s face and people analysis techniques in a service for monitoring human behavior in public environments.


Over the years, apart from people detection, we have developed vision solutions to detect objects such as cars, horses, suitcases, shoe traces for forensic analysis, and evaluate the context of those images. Other examples are a visual analysis system for a sewer crawling robot, SewerViewer, that detects and interprets various abnormalities, cracks and obstructions in a sewer system. Or a luggage classification system that we developed to increase safe usage of conveyor belts at airports.