Real-Time Environmental AI: Transforming Video Streams into Scientific Datasets 🌲🐦🪸

12d • AI

Hi everyone,

For those of you working on environmental projects or applications. I've recently developed an autonomous monitoring system that converts live environmental footage into comprehensive species observation records, generating 72 standardized variables per observation through coordinated AI analysis.

Key Capabilities:

- Automated species identification with behavioral and seasonal analysis

- Environmental threat detection and habitat quality assessment

- Real-time integration of climate, conservation, and geographic databases

- FAIR-compliant scientific metadata generation

- Consistent multi-species processing through spatiotemporal optimization

- Scalable and customizable features for straightforward integration

Research Applications: The system serves diverse monitoring needs: terrestrial ecological sites tracking species phenology and climate responses, marine research facilities monitoring biodiversity and ecosystem health, conservation programs requiring rapid habitat assessments, and citizen science projects where volunteers can contribute to standardized scientific databases. Output integrates directly with institutional data management systems and research workflows.

Open to collaborating with research institutions interested in deploying autonomous monitoring solutions. More details here: https://www.linkedin.com/posts/andy-portalatin-97b40bb6_roboflow-n8n-airtable-activity-7373076825230512128-3gvS

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