See how dual-sensor adaptive filtering separates operation sounds from external noise to enable
See how a refrigerator uses terminal device audio and location data to distinguish refrigerator
See how multichannel signal processing and linear tactile transducers transpose audio to haptic
Accelerometer-guided filtering removes road noise from vehicle microphone signals, improving hands-free call clarity without degrading speech.
Music EQ, driving patterns, and road conditions are combined to generate emotional vehicle sounds that reduce stress and improve engagement.
Sensors and machine learning detect occupant emotion and automatically tune lighting, HVAC, audio, and seating to improve comfort.
Frequency-domain decomposition tied to vehicle operating signals isolates system-specific audio profiles for fault detection and sound control.
Local audio and video processing detects unsignaled lane departures in real time, alerting drivers while limiting backend data uploads.
Voice, image, and device detection trigger automatic TTY and audio setup in vehicles, reducing manual connection steps for rideshare passengers.
AI analyzes vehicle vibration and ambient noise to select matching sound sources that mask road and environmental noise.