ELOC is designed for challenging tropical conditions, where humidity, dense vegetation, and remoteness place high demands on both hardware and software. The system integrates three components into one monitoring system:
• ELOC recorders — rugged field devices equipped with specialised microphones, GPS, motion detection, Bluetooth connectivity, LoRa communication, solar panels, and rechargeable batteries designed for long-term deployment.
• ELOC app and web interface — tools for configuring devices in the field, managing metadata, monitoring system performance, and supporting real-time conservation applications.
• LoRa gateways — network infrastructure that transmits data from remote recorders, enabling near real-time alerts even in areas with limited connectivity.
Since 2021, ELOC has collected and analysed elephant vocalisations and other forest sounds through field studies, student research projects, and partnerships with universities and conservation organisations. The project has built a substantial reference database containing approximately 5,000 labelled elephant vocalisations and more than 30 TB of audio recordings from over 500,000 files.
This dataset underpins the development of machine-learning models that automatically identify elephant sounds and conservation threats. ELOC is developing both cloud-based models and lightweight models capable of running directly on field devices, allowing for real-time detection even in the remotest forests.