Recently, India’s First Automated Bat Monitoring and Detection System was created by the Indian Institute for Human Settlements (IIHS), Bengaluru.
What is BatEchoMon?
BatEchoMon stands for “Bat Echolocation Monitoring”. It is India’s first automated, real-time bat monitoring and detection system.
The system was developed by bat biologist Kadambari Deshpande and engineer Vedant Barje under the guidance of Jagdish Krishnaswamy.
It was designed as part of the Long-Term Urban Ecological Observatory at the School of Environment and Sustainability, Indian Institute for Human Settlements (IIHS), Bengaluru.
What Does BatEchoMon Do?
BatEchoMon autonomously detects, records, analyses, and classifies bat echolocation calls in real-time — something that previously took researchers months to do manually.
It includes:
An ultrasonic microphone using a modified AudioMoth
A Raspberry Pi microprocessor to process and classify calls.
A solar-powered battery for power and a Wi-Fi unit for data transmission.
The device activates automatically at sunset and continuously records audio through the night.
It uses a Convolutional Neural Network (CNN) algorithm to distinguish bat calls from other sounds and to classify them based on peak frequency and call structure.
The output includes:
Spectrograms (visual frequency-time plots of bat calls),
Audio files of bat calls,
Species-specific statistical data showing call frequency and timing
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