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Acoustic Event Detection Sensors are hardware sensing systems that detect and differentiate discrete sound events by converting environmental audio into structured, machine-readable signals. They enable awareness of safety, mechanical, or environmental events that may not be detectable through visual sensing alone.
Audio–Visual Fusion Sensor Arrays are multisensory hardware platforms that synchronously capture and fuse acoustic and visual data to provide richer environmental context than single-modality sensors. They support more reliable perception in complex, noisy, or visually ambiguous settings by aligning sound and image signals at the hardware level.
Intelligent Audio Capture Modules are modular hardware components that combine microphones with embedded processing to deliver clean, structured audio directly into larger systems. They enable audio input to function as a system-level capability in embedded, research, and custom hardware environments rather than as a standalone recording device.
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