Contextual recognition
Classifies what kind of content is playing, such as sport, drama or news, without needing to identify the exact title.
Computer vision layer
HyperACR
Contextual recognition and logo detection for AI-capable televisions
HyperACR analyses the video feed directly. It recognises the type of content on screen, detects logos and branded moments, and runs alongside EdgeACR on newer, AI-capable hardware.
Visual intelligence
What HyperACR adds
Two vision capabilities that turn the screen itself into a signal: what is playing, and what is visible while it plays.
Object and logo detection
Detects logos, products and people on screen, from network idents to brand ambassadors.
Runs with EdgeACR
Works in parallel with EdgeACR, adding visual context to validated audio-side exposure.
Combined system logic
Better together
EdgeACR validates exposure. HyperACR reads the screen. One signal, more precise.
EdgeACR validates exposure
Audio-side recognition confirms what played, and when, across the device fleet.
HyperACR reads the screen
Vision models add scene context and logo detection that exposure data alone cannot provide.
Together, a richer signal
Validated playback plus screen context gives planning, targeting and measurement more to work with.
Next step
See HyperACR in a live workflow
We’ll show you how EdgeACR and HyperACR work together on real devices.