AI-Powered Water Contamination Monitoring with Zebrafish Behavior. Non-invasive, real-time, and highly accurate alert system for water quality management
Background
Traditional water monitoring methods rely heavily on chemical sampling and lab-based analysis, which can be slow, costly, and labor-intensive.
However, zebrafish (Danio rerio), known for their sensitivity to environmental changes, offer a powerful alternative as biological indicators for water contamination.
Our AI-Based Solution
BAP developed an intelligent AI monitoring system that observes zebrafish behavior to detect potential water pollution events:
- 4 real-time surveillance cameras track zebrafish activity
- Behavioral data is analyzed to learn and model normal movement patterns
- Hidden Markov Models (HMM) detect behavioral anomalies triggered by environmental changes
- Achieves over 90% precision and recall, ensuring reliable alerts
Key Benefits
- No chemical sampling required – a fully non-invasive solution
- Real-time monitoring & instant alerting
- Ideal for research labs, water treatment plants, and environmental authorities
- Supports faster, data-driven decision-making in water quality response
Use Cases
- Automated monitoring for industrial parks, treatment facilities, dams
- Environmental research by universities and institutes
- Integration into smart water infrastructure systems
