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Science
BatEchoMon (Bat Echolocation Monitoring)
What is it?
BatEchoMon is India’s first automated, real-time bat monitoring and detection system, designed to study urban bat populations and their behavior.
Developed by:
- Kadambari Deshpande (Bat Biologist)
- Vedant Barje (Engineer)
- Under the guidance of Jagdish Krishnaswamy
Institution:
- Developed under the Long-Term Urban Ecological Observatory (LTUEO) at the School of Environment and Sustainability, Indian Institute for Human Settlements (IIHS), Bengaluru.
Key Features & Components
- Ultrasonic Microphone: Uses a modified AudioMoth device.
- Microprocessor: Powered by a Raspberry Pi to process and classify bat calls.
- Power Source: Solar-powered battery.
- Data Transmission: Wi-Fi enabled for real-time updates.
How it Works
- Activates automatically at sunset, records through the night.
- Uses a Convolutional Neural Network (CNN) to:
- Detect and differentiate bat calls from other environmental sounds.
- Classify bat species based on peak frequency and call structure.
Outputs Generated
- Spectrograms: Visual plots of call frequencies over time.
- Audio files of bat echolocation.
- Species-specific data: Frequency and timing of calls.
Significance
- Reduces manual work for researchers (from months to real-time analysis).
- Aids urban biodiversity studies, bat conservation, and understanding of ecosystem health.
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