BatEchoMon (short for Bat Echolocation Monitoring) was developed by the Indian Institute for Human Settlements (IIHS), Bengaluru.

Key Features of BatEchoMon
- It is an autonomous system designed to detect and analyze bat echolocation calls in real-time.
- The system functions as a Bat Detector, capable of recording ultrasonic calls of insectivorous bats.
- These ultrasonic signals are converted into audible sounds for human interpretation.
- The system is powered by a Raspberry Pi microprocessor, making it compact and energy-efficient.
- It uses convolutional neural network (CNN) algorithms to accurately detect and identify bat species based on their echolocation patterns.
