Contextual recognition
Classifies the programme environment around an exposure event without requiring exact title-level recognition on every frame.
Computer vision layer
HyperACR
Contextual recognition and logo detection for AI-capable television platforms
HyperACR analyses the video surface directly, adds contextual recognition and detection overlays, and runs alongside EdgeACR on newer hardware profiles where compact vision inference is practical.
Visual intelligence
What HyperACR adds
HyperACR interprets the television surface into contextual, detected and correlation-ready machine outputs that can enrich validated exposure events.
Object and logo detection
Reads brand marks, products and selected visual entities that add commercial meaning to what was actually on-screen.
Runs with EdgeACR
Operates beside EdgeACR so screen interpretation extends validated audio-side exposure detection instead of replacing it.
Combined system logic
Why the combined stack is more valuable
EdgeACR validates exposure. HyperACR interprets the screen. The combined result is a more useful and commercially precise signal layer.
EdgeACR validates exposure
Audio-side recognition confirms what played and when it played across the distributed device estate.
HyperACR interprets the screen
Visual inference adds scene context, logo detection and on-screen evidence that exposure data alone cannot provide.
The stack produces a richer signal
Together they create a cleaner planning, targeting and measurement layer grounded in both validated playback and interpreted screen state.
System close
See how HyperACR fits into the SyncMint stack
Review how EdgeACR and HyperACR work together across validated exposure, visual interpretation and device-scale deployment.