Remote Audio Habitat Monitoring: ARBIMON
Automated Remote Biodiversity Monitoring Network
ARBIMON (Automated Remote Biodiversity Monitoring Network) is a project developed out of the University of Puerto Rico by Carlos Corrada-Bravo, Mitchell Aide and their team that uses off-the-shelf technology in combination with advanced machine-learning algorithms to help analyze an area's biodiversity.
At the core of the project are field monitoring stations that are created using solar panels, a 2nd generation iPod, 12v car battery, 900 MHz Radio/antenna, and a 20Hz-20kHZ microphone all wrapped up tightly in a waterproof case. The field systems capture one minute long recordings of an area every 10 minutes and then passes that data along to a base station (that can be located up to 40 kilometers away) to eventually reach the main projects server for analysis and backup.
Once captured and stored the audio is processed against an automated species identification system and algorithms that has been trained by researchers based on specific vocalization of a species.
The ARBIMON team has created and tested species-specific models for a range of amphibians, birds, mammals, and insects. Once created these models can be can be used to process previously recorded audio to generate daily and monthly patterns for a specific species or a "soundscape index" for an entire area that can be tracked over time.
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