Direction of Arrival (Audio) Ready Model 


About the Direction of Arrival (Audio) Ready Model

With our newest audio detection model, you have the ability to determine what direction sounds are coming from. 

The uses for this model are many and varied; to give one example, paired with the Siren Ready Model, it can add safety for drivers, passengers and pedestrians.

Ready to test the Direction of Arrival (Audio) Ready Model?


Follow these simple instructions to evaluate the Direction of Arrival (Audio) Ready Model:


  • Click the 'Test the model' button below to get access to:
    • the Ready Model static library
    • test report, including information on how the model was tested
  • Add the static library into your custom code
  • Use the provided API in the accompanying header file to pass data into the model and process the output (see report for some code extracts)
  • Make sure that your sensor is configured properly according to specs provided in the report including required orientation
  • Once you have integrated the library and setup the sensors in the right way you're ready to drive UI features to provide an output once a fall is detected
  • The report has some code extracts to explain how to use the model and API and we will soon be providing code examples that can run directly on an Infineon microcontroller. To get started we recommend you use PSOC™ Edge 


Test the model

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Check out more of our Ready Models

Coughing

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


Learn more Test now Buy

Snoring

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

Learn more Test now Buy

Sirens

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


Learn more Test now Buy