Smart Backpack System for Animal Ecology
A field-deployable multimodal data infrastructure that integrates autonomous sensing, edge computing, and drone-based platforms to address critical data acquisition challenges in animal ecology research.
References
Key Resources
- Demo Video: System Operations and Autonomous Pipeline Execution
- Parrot Olympe SDK: Drone Control Framework
- Docker Documentation: Container Deployment Guide
- MQTT Protocol: IoT Messaging Standard
Key Terms
- Camera-trap: Edge-based machine learning system for real-time animal detection using motion-triggered image capture
- UAS (Unmanned Aerial System): Autonomous drone platform for aerial video monitoring
- Detection-to-Documentation Pipeline: Automated workflow from ground-level detection to aerial observation
- Edge Computing: Local data processing at the point of collection without cloud dependency
- Multimodal Data: Synchronized datasets combining ground-level imagery with aerial videography
Acknowledgements
National Science Foundation (NSF) funded AI institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE) (OAC 2112606)