We use the Intel Edison to record bird vocalizations and pass them to a predictive model to identify four bird species from the recordings. The crucial information necessary to track the migration of birds is vocalization. However, capturing this information requires the physical presence of birdwatchers who are adept in identifying bird species from their calls and songs. This process is very time consuming and impractical, especially for nocturnal birds. A better solution to this would to have an automated system which can both capture the vocalizations and identify the birds within this captured information. Our project has attempted to address this issue of accurately identifying bird species from vocalizations using the power of an Intel Edison compute module to capture and store audio data and the predictive power of TensorFlow to take each audio sample and identify the bird within it.”


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