Event-driven intelligence for smarter connected devices
Ultra-low power operation can run continuous Al workloads without rapidly draining battery life
Eliminate reliance on cloud connectivity, ensuring instant responses, privacy preserving operation, and reduced network dependency.
On-chip processing of vision + audio + motion feeds enables richer context and fewer false triggers.
On-device inference reduces latency dramatically, capturing critical events the moment they occur. Allowing for meaningful wake on event triggers
Always-on voice and motion detection at sub-5mW power
Process audio locally without waking the main processor or radio
Fuse IMU data for gesture detection and air- mouse precision, enabling contextual mode switching (e.g., gaming vs TV)
On-device inference allows for no raw audio streaming, enabling a secure closed environment
Al-based power state prediction, smart sleep & wake transitions, usage-based energy management
Sub-10ms wake-to-action response for competitive gameplay
Al-enhanced IMU processing for precision tracking and drift reduction
Always-on wake word detection, in game command triggering, player state/intent detection (stress, excitement cues from audio patterns)
Always-on sensing and Al inference without cloud dependence at milliwatt-scale power. No power hungry wake cycles required
Detect approach via motion/vibration sensing and classify door interaction patterns (knock vs tamper vs forced entry)
Activate high-power BLE, motor control, and authentication only when needed
Local decision making without continuous cloud dependency, voiceprint recognition for authorized users