Surveillance and Tracking of Elephants Using Vocal Spectral Information

Prince, Jared

doi:10.15623/ijret.2014.0319118

Cited by 8 publications

(1 citation statement)

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“…Therefore, passive and non-invasive detection methods are encouraged. Among such methods, namely visual [23]- [28], acoustic [29]- [37], and infrasonic monitoring [31], the use of seismic signals for passive elephant detection has proven to be highly effective in tropical conditions and uneven terrains [38], [39].…”

Section: Introductionmentioning

confidence: 99%

Toward Long Range Detection of Elephants Using Seismic Signals: A Geophone-Sensor Interface for Embedded Systems

Wijayaraja,

Wijekoon,

Wijesundara

et al. 2024

IEEE Access

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The long-distance detection of the presence of elephants is pivotal to addressing the humanelephant conflict. IoT-based solutions utilizing seismic signals originating from the movement of elephants are a novel approach to solving this problem. This study introduces an instrumentation system comprising a specially designed geophone-sensor interface for non-invasive, long-range elephant detection using seismic waves while minimizing the vulnerability of seismic signals to noise. The geophone-sensor interface involves a cascade array of an instrumentation amplifier, a second-order Butterworth filter for signal filtering, and a signal amplifier. The introduced geophone-sensor interface was tested under laboratory conditions, and then real-world experiments were carried out for tamed, partly tamed, and untamed elephants. The experimental results reveal that the system remains stable within the tested frequency range from 1 Hz to 1 kHz and the temperature range of 10°C to 40°C. The system successfully captured the seismic signals generated by the footfalls of elephants within a maximum detection range of 155.6 m, with an overall detection accuracy of 99.5%.

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