Robots with emotional intelligence can become valuable assistants to humans, acting as our caregivers, tutors, and companions.
The importance of a passenger monitoring system
Passenger monitoring system gathers valuable data about each individual passenger and uses it to improve their safety and comfort.
Child occupant protection in cars using age estimation
When it comes to child safety in cars, computer vision already plays a big role. Using the latest age estimation technology, car manufacturers can now go one step further.
VR and AR face tracking use cases and trends
AR has found its way to our smartphones, smart mirrors and smart glasses (AR headsets). Here is how to use these new technologies to engage your audience and improve business results.
Face recognition in cars improves safety and convenience
From car ignition to theft prevention – there are countless possibilities of using facial recognition in cars.
Smoothed criminals: identifying real faces from retouched mugshots
One of new challenges for face identification system is a problem of the identification of a face from heavily altered facial images. Such a system can be useful in, for example, mugshot identifications for criminal identification. In a recent study, researchers used frontal views and compared them to “photoshopped” ones generated by face transformation online […]
When I’m sixty-four: face aging
Age progression or age synthesis (face aging) is defined as aesthetically rendering a face image with natural aging and rejuvenating effects for a certain face of an individual.
Smart mirrors take over the market by storm
Face tracking and analysis technology is an integral part of smart mirrors built to provide a truly personalized user experience.
Face-to-BMI: Using Computer Vision to Infer Body Mass Index on Social Media
We have been working with Visage
Technologies across a number of campaigns in
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Face anti-spoofing methods in face recognition systems
Face liveness detection helps prevent spoofing attacks by recognising whether a face in front of the camera really belongs to a “live” person.
