Enhance Remote Surveillance Devices with On-Device Sound Detection

Detect distress, intrusion or abnormal events through real-time, on-device audio AI
No cloud needed or user intervention.

Traditional sensors can’t detect what cameras don’t see, or what no one says

Video surveillance and motion detection have blind spots: occluded views, night-time scenarios, distant alerts. Sonaid brings an extra layer of intelligence to your devices by detecting critical audio signals in real time — even when nothing’s visible.

Seamless Integration Across
Remote Surveillance Markets

Whether you're building embedded security products or offering smart surveillance solutions for urban, industrial or institutional environments, Sonaid’s sound-based distress detection extends your device capabilities — especially in areas where cameras and motion sensors fall short. Sonaid empowers devices to hear beyond the visible : call for help, pain, alarms, etc.
Our audible human distress detection solution can be integrated into any remote surveillance environment.

Smart Buildings, PropTech & Corporate Security

Healthcare & Assisted Living

Smart City & Mobility for Public Safety

Education, Sports & Community Spaces

Sound-Based Safety,
Built for Real-World Use

Proven Detection
in Critical Scenarios

Falls and accidents

Detection of impact + calling for help, even with closed doors

Distress at Night

Detection of pain and panic sounds

Wandering & Disorientation

Detection of repeated calls or confusion sounds

Why Device Manufacturers
Should Choose Sonaid.ai

Proprietary Sound
AI Models
Easy SDK
Integration
On-Device
Inference
Works in Complex
Acoustic Environments
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Sonaid.ai is ready to listen

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