AI‑Driven Fish Counting and Species Identification

Demonstrated results in challenging environments

HydroAI brings clarity to fish passage monitoring. Using intelligent underwater cameras, the system automatically detects, counts, and identifies fish as they move through fishways and other passage structures, delivering continuous, reliable insights without the need for constant manual observation.

Field deployments across thirteen Canadian sites have provided a broad testbed for evaluating HydroAI in real operating conditions. In this white paper, we examine how automated monitoring performs across different passage structures and what the results reveal about data continuity, operational efficiency, and regulatory support.

What’s inside

This white paper offers a summary of the HydroAI system’s capabilities and recent enhancements. Inside, you’ll find:

• How automated monitoring can complement existing environmental and regulatory workflows
• A description of the system architecture supporting automated detection, species classification, and biometric evaluation
• Deployment summaries representing a range of aquatic monitoring environments
• Observations related to data continuity, certainty, and operational considerations