What the facial-recognition camera is
The viewneo facial-recognition camera is a demographic-sensing device that measures information about the people in front of a screen and passes it to the viewneo CMS as a trigger for targeted, group-specific content. It combines a Full HD camera from Logitech with a separate AI module — a mini PC developed for AI applications, with hardware acceleration for the computationally intensive detection of age, gender, and other characteristics: the module evaluates the image in real time and derives demographic metadata — age, gender, and the number of people — so a display can adapt to whoever is standing in front of it.
The defining feature is that external AI module. All image evaluation happens directly on the module, with no image transfer and no storage, so a visitor receives tailored content without any sensitive data leaving the device. The system is designed for data minimisation — no images are stored or transmitted, only anonymous age/gender metadata. The same metadata can populate a dashboard showing, for example, the average age and gender profile of your visitors.
How does the facial-recognition camera fit into your stack?
The camera works with viewneo Enterprise and, for content playback, the viewneo 4K Signagebox. Its measurements feed viewneo so you can understand audiences over time. Pair it with the viewneo Butler to add sensors and actuators for richer, visual-merchandising experiences.
How it works
- Measure visitors — the camera detects when someone steps in front of the screen and builds an anonymous age/gender profile.
- Collect and evaluate — profiles are summarised in the CMS and a real-time dashboard.
- Show dynamic content — predefined content plays for the detected audience, so viewers see what is relevant to them.
- Optimise — use the analysis to refine content for your actual visitor mix.
What can the camera recognise?
Besides age and gender, the AI module can evaluate the number of people in front of the screen, characteristics of a person (for example whether someone wears glasses or a beard), animals, products and product labels, other objects, and directions of travel. Each of these can serve as a trigger in the CMS event area. On touchscreens, the Analytics dashboard adds the interaction side, showing which products are viewed most often.
A typical application is a digital stele in a department store. From a distance it shows a welcome screen with a floor plan that addresses every visitor; when someone steps closer, the camera evaluates age and gender in real time and the stele switches to content chosen for that visitor — a smart wayfinding system based on demographic metadata.
What do you need to install it?
Plan a LAN connection and a power source at the spot where the camera will be mounted. The camera connects to the network by Ethernet (RJ45) only — a wireless internet connection is not possible — and LAN cables are not included. The camera itself plugs into the AI module via USB, so no cable to the screen is required. After activation in the CMS, the camera’s functions appear in the event area without any additional plugin; the account needs at least one active player licence.
From measurement to merchandising
Beyond switching content, the camera turns a screen into a source of insight. The metadata it produces — counts and demographic profiles over time — populates a real-time dashboard and, with viewneo, longer-term reports on who stops in front of which screen and when. That lets you optimise content for the audience you actually have, not the one you assumed. Paired with the viewneo Butler and its sensors, the same setup supports visual merchandising — staging the right product for the person in front of it.
Buy the camera or talk to sales about an audience-measurement setup designed for data minimisation.