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
No User Action Required : Detects distress even when users are unconscious or immobilized
Privacy-Preserving : All sound processing is done on-device — no streaming, no cloud
Edge-Native SDK : Ultra-compact and easy to integrate into your existing hardware
High Accuracy : Detects crying, calling for help, falling, and exclude pathological sounds with minimal false alarms
Lightweight & Energy Efficient : Designed for wearables and battery-constrained devices
Proven Detection in Critical Scenarios
Falls and accidents
Detection of impact + calling for help, even with closed doors