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Enhance your distress detection systems
Audio-based distress signal detection can enhance safety across multiple use cases, Sonaid.ai focus on :
REMOTE
SURVEILLANCE
SURVEILLANCE
TELECARE /
PERSONAL EMERGENCY
RESPONSE SYSTEM
PERSONAL EMERGENCY
RESPONSE SYSTEM
PERSONAL SAFETY
DEVICES
DEVICES
Detection devices partially meet the requirements of these use cases
Devices fall short
in real-life scenarios
in real-life scenarios
Current safety devices leave critical blind spots: fixed sensors can’t monitor private areas, and wearables are useless when not worn or unreachable during emergencies.
Too much noise,
not enough signal
not enough signal
Most audio technologies miss the point: they waste resources on irrelevant sounds instead of focusing on critical safety signals.
High consumption for
low-value data
low-value data
This causes wasted energy and resources: processing irrelevant sounds increases power consumption, technical overhead, and digital inefficiency.
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