Smart Billboard Platform
Computer vision that picks the right ad for the audience standing in front of the screen
An AI-powered digital billboard platform that reads anonymous audience context in real time and selects the most relevant advertisement automatically — no facial identification, no manual scheduling.
The challenge
Traditional digital billboards run advertisements on fixed schedules regardless of who is actually watching. Conventional signage systems depend on predefined playlists and time-based scheduling, so campaigns stay static whatever the audience composition, targeting depends on manual scheduling work, engagement drops during mismatched audience periods, and advertisers get almost no real-time insight into who saw what. The result is lower engagement and inefficient use of expensive advertising inventory.
What we built
A billboard platform that combines computer vision, contextual decision-making and real-time content delivery. Cameras continuously capture the surrounding scene and computer vision models perform anonymous audience analysis without identifying anyone. From that the platform extracts contextual signals — estimated audience size, general age groups, presence of adults or children, crowd density and time of day — and an AI decision engine evaluates that live context alongside active campaign rules to select and display the most relevant advertisement instantly. Interactions and campaign performance are logged for continuous optimization. No facial identities or personally identifiable information are stored.
Knowledge-driven campaign selection
A retrieval-augmented generation layer can be integrated so the platform retrieves campaign rules, advertiser objectives, product information, seasonal promotions and brand guidelines before ranking eligible advertisements. Marketing teams update campaign knowledge as content rather than as code, so the rules that govern which ad runs when can change without touching application logic or redeploying anything.
Why it matters
Static digital signage treats every audience the same. Reading anonymous audience characteristics and environmental conditions in real time turns digital out-of-home advertising into a context-aware experience: automated ad selection based on who is genuinely present, higher campaign relevance, far less manual scheduling, better inventory utilisation, and an architecture that scales across many billboard locations — all while respecting privacy by design.