HydroAI
Data confidence through automated fish counts and species identification
Replace uncertainty with trusted fish counting and species identification data. HydroAI transforms monitoring video into continuous, reliable insights that help organizations better understand fish passage activity and make informed decisions with confidence.
Turn video into trusted data
HydroAI combines high-resolution video cameras with AI-powered software to deliver scalable, automated fish passage monitoring that never needs a break.
- Seamless integration: High-powered cameras fit directly into your existing infrastructure.
- Automated monitoring: Powerful AI algorithms convert video footage into accurate fish counts and species identification data.
- Reduce manual review: Replace labor-intensive counting and video review with automated monitoring and analysis.
- Trusted reporting: Instantly generate detailed reports to support regulatory compliance, stakeholder communications, and funding applications using our cloud-based software.
- Continuous visibility: Deploy across multiple sites with consistent, automated data collection and analysis.
Unmatched confidence in your data
HydroAI’s machine learning model was developed under the Ocean Aware project, and in partnership with Nova Scotia Power, Inc. Today, HydroAI supports monitoring programs across sites in North America, delivering the confidence organizations need to better understand fish passage activity.
Use Cases and applications
Hydropower sites
Gain continuous visibility into fish passage activity to support environmental monitoring programs, demonstrate compliance with passage requirements, inform operational decisions, and evaluate long-term systems performance.
Conservation projects
Improve visibility into fish activity before and after restoration efforts to evaluate outcomes, demonstrate impact, and support future funding opportunities.
Consulting
Deliver reliable monitoring data and actionable insights to support environmental assessments, client projects and project recommendations
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