A team of researchers in India has launched a groundbreaking device called BatEchoMon, which is the first automated system for monitoring bats in the country. This device is designed to help scientists study bats more efficiently by automatically detecting and analyzing their echolocation calls.
Kadambari Deshpande, a bat biologist and postdoctoral fellow, developed this system with Vedant Barje, who leads the WildTech Project at the Wildlife Conservation Trust. Their work is part of the Long-Term Urban Ecological Observatory at the Indian Institute for Human Settlements (IIHS).
Deshpande shared her experiences using traditional bat detectors, explaining that analyzing the echolocation calls from bats used to take her months of hard work. With BatEchoMon, she says what took her 11 months can now be done in just a few hours. This automated system not only records bat calls but also processes this data to identify different bat species and track their behaviors.
Here’s how BatEchoMon works: It is equipped with an ultrasonic microphone that picks up bat calls. These calls are then processed by a Raspberry Pi microprocessor, which sorts out the bat sounds from other noises, like insects and environmental sounds. It uses advanced algorithms to match the sounds to known bat species, providing researchers with visual data (spectrograms) and audio recordings.
The device is housed in a compact, weather-resistant box and is powered by a solar panel. It can operate for up to eight days without sunlight, making it suitable for various field conditions. BatEchoMon’s design is modular, allowing researchers to customize features based on specific needs.
Currently, BatEchoMon can identify about six to seven common bat species in India. However, the team hopes that by collecting more data and collaborating with other researchers, they can expand the system’s capabilities to include more species.
While BatEchoMon has successfully passed initial tests, the researchers are planning further trials in different environments and with additional users. A major challenge ahead is creating more reference data for various bat species to improve identification accuracy. Deshpande and Barje are enthusiastic about the potential of BatEchoMon to enhance bat research in India and to contribute to our understanding of bat ecology, helping researchers ask deeper questions about these important creatures.
-Rashmi Kumari
