The Factory Alarms and Sirens model is created to be used in factory settings to detect alarms and sirens when they go off. This makes factories safer, and can be used for example to alert workers wearing noise cancelling headphones or other headwear that a siren or alarm has gone off, when they might not otherwise hear it.
- Captures more than 80% siren and alarm sounds
- Robust against diverse factory background sounds, and different distances and angels from the sound source
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The Coughing model is designed for use in healthcare products or wearables. It detects coughing, which can indicate illness or other respiratory conditions, and can be used to identify potential environmental hazards.
- Captures at least 84-94% of coughs
- Robust against the most common indoor and outdoor background sounds
- Measures coughs per hour to identify 'sick' versus 'healthy' user
This model is ideal for companies with healthcare or wearable products that want to identify snoring. This important feature can be used to identify health or environmental issues.
- Captures more than 89-96% of snores
- Robust against the most common background sounds, particularly indoor
- Flexibly designed to be used in wearables or in devices that are placed near the bed
This model uses audio event detection to identify emergency vehicle sirens. This can be used to alert pedestrians to emergency vehicles in their vicinity, or to trigger other safety features in wearables.
- Captures over 80-95% of siren sounds
- Robust against common traffic background sounds in different environments
- Able to detect siren sounds from all directions