Solution
Research Eco-acoustics Monitoring
Standardized acoustics, imagery and long-term time-series data for research and algorithm development.
Background
Institutes and universities need long-term, standardized, traceable eco-acoustic and image data for species-recognition algorithms, long-term ecology and teaching.
Current Challenges
- ●Costly field-recording labels
- ●Hard to standardize & share
- ●Long series hard to get
- ●Few real samples for training
Solution
Standard Dataset
Labeled acoustic & image datasets.
Long Series
Continuous采集 for research series.
Algorithm Collaboration
Joint species-recognition algorithm development.
Research Report
Publishable monitoring & analysis reports.
Monitoring Targets
Birds
Acoustic & image ID.
Mammals
Camera-trap ID.
Amphibians
Acoustic frog ID.
Soundscape
Soundscape index & noise.
System Architecture
Sensing
Connectivity
AI Layer
Data Platform
Applications
AI Capabilities
AI Acoustic ID
ID birds, mammals, amphibians.
AI Image ID
Camera-trap species ID.
Local Model Training
Joint training & iteration.
Biodiversity Analysis
Diversity index & series.
Site Deployment
- ●Acoustic points at plots
- ●Fixed long-term sites for consistency
- ●Standardized params & labels
- ●Into research platform
Data Analysis
- Composition
- Species list & abundance
- Temporal
- Rhythm & long-term change
- Soundscape
- Soundscape index & noise
- Trends
- Long-term ecological trends
Cases
Beijing Biodiversity Survey
Contributed to species AI recognition algorithm development.
Frequently asked questions
How does data support algorithm development?+
Labeled standardized datasets and long series directly train, validate and iterate species-recognition models.
Related
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