AudioMoth is an open source full-spectrum acoustic logger built around the Silicon Labs Gecko processor by the Open Acoustic Devices Team. It can detect sound from ranging from audible to ultrasonic frequencies and can record uncompressed audio to micro SD card from 8,000 to 384,000 samples per second. A popular research tool for environmental and biodiversity researchers worldwide thanks to the Arribada Initiative, you can now find unattended AudioMoths in some very unexpected places such as rain forests, jungles, and bat caves worldwide.
EFM32 Gecko processor
Capable of recording at sample rates up to 192kHz
Experimental sample rate of 384kHz
Records uncompressed WAV files to SD card
Powered by 3 x AA batteries
Analog MEMS microphone
Analog pre-amplifier with adjustable gain
58 x 48 x 15 mm
Configurable micro-USB interface
Onboard real-time clock keeps track of time in UTC
AudioMoth Configuration App
The AudioMoth configuration app is an easy to use tool for customizing your AudioMoth logging devices.
Using it you can schedule recording periods, customize recording gain and sample rates as well as calculate approximate device lifespans given a configuration.
BBC documentary showing AudioMoth being used to discover the secret world of one of the most endangered and least understood animals on earth – bats.
The Guardian - New sensor offers a window into the secret lives of Britain's rarest bats
Article by Phoebe Weston on how AudioMoth was used to identify 1.7 million bat calls.
BBC - Endangered bats: The manicure helping to save a species
Article by Helen Briggs with picture showing AudioMoth
WightLink - Wightlink helps to plot the journey of one of the Isle of Wight’s most special seasonal visitors
Wight Link press release by Karen Woods where Adrain Bicker describes using AudioMoth to monitor bat migration
Chinadialogue - Five technologies to save wildlife from traffickers
Article by Catherine Early introducing technology built in collaborations between conservationists and tech developers.
RSEC blog - Optimization of sensor deployment for acoustic detection and localization in terrestrial environments
Article and video introducing our recent paper on sensor optimization