AI-Powered Fish Counting

Accurate, automated biomass estimation using computer vision

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Transform Fish Counting with AI

Manual fish counting is time-consuming, stressful for fish, and prone to errors. Our AI-powered fish counting system uses advanced computer vision and deep learning to automatically count fish, estimate biomass, and analyze size distribution with 95%+ accuracy.

Designed specifically for aquaculture operations, our system works in real-world conditions including turbid water, varying lighting, and high-density populations. Get instant insights without disturbing your fish.

Key Features

Computer Vision Counting

Advanced AI algorithms trained on aquaculture data for accurate fish detection and counting

Size Distribution Analysis

Automatic size grading and histogram generation to track growth uniformity

Real-Time Monitoring

Continuous counting and biomass estimation throughout the day with instant alerts

Historical Tracking

Track population trends, growth rates, and mortality over time with detailed reports

Mobile App Access

View counts, reports, and alerts anywhere on iOS and Android devices

Export & Integration

Export data to Excel/CSV and integrate with farm management systems

How It Works

01

Camera Installation

Install waterproof cameras at strategic locations (tanks, transfer points, grading stations)

02

AI Processing

AI analyzes video feed in real-time, detecting and counting individual fish with size estimation

03

Data Analysis

System generates counts, biomass estimates, size distributions, and growth trends

04

Dashboard & Alerts

View results on web dashboard or mobile app, receive alerts for anomalies

Technical Specifications

Accuracy
95%+ in typical conditions
Speed
10x faster than manual counting
Technology Stack
Python, TensorFlow, OpenCV, PyTorch
Deployment
Cloud or edge (on-premise) processing
Camera Support
IP cameras, USB cameras, RTSP streams
Integration
REST API, webhooks, database export

Measurable Benefits

95%+ Accuracy

More accurate than manual counting, especially for large populations

10x Faster

Count thousands of fish in minutes instead of hours

Reduce Fish Stress

Non-invasive counting eliminates handling stress and mortality

Data-Driven Decisions

Make informed decisions on feeding, harvesting, and stocking

Behavioral Monitoring Beyond Counting

Advanced AI analysis of fish behavior for health, welfare, and production optimization

Stress Detection

Identify abnormal swimming patterns, lethargy, and signs of environmental stress before they impact health

Reproductive Behavior

Detect spawning readiness, courtship behaviors, and mating events for optimal breeding management

Aggression Detection

Monitor cannibalism, fighting, and aggressive behaviors to prevent mortality and optimize stocking density

Activity Assessment

Track daily activity patterns and energy levels for welfare scoring and health monitoring

Swimming Patterns

Analyze normal vs abnormal swimming behaviors for early problem detection

Welfare Scoring

Automated welfare assessment based on behavioral biomarkers and activity levels

Early Disease Detection

AI-powered health monitoring through behavioral biomarkers

Viral & Bacterial Infections

Early detection of disease through behavioral biomarkers - erratic swimming, surface gulping, flashing behaviors

  • White Spot Disease indicators
  • Bacterial gill disease symptoms
  • Viral infection behavioral changes

Parasite Detection

Identify stress and behavioral changes associated with external and internal parasites

  • Flashing and rubbing behaviors
  • Loss of appetite patterns
  • Abnormal swimming near surface

Health Monitoring

Continuous health assessment through AI-powered video analysis

  • Daily health scoring
  • Trend analysis over time
  • Predictive health alerts

Early Warning System

Get alerts before clinical signs appear, allowing preventive action

  • 24-48 hour advance warning
  • SMS/email notifications
  • Integration with management systems

Advanced Hatchery Capabilities

Specialized AI tools for breeding and hatchery operations

Spawning Detection

Automatically identify spawning events and reproductive behaviors in broodstock tanks

Broodstock Monitoring

Track broodstock health, activity, and readiness for optimal breeding management

Larvae Quality Assessment

Automated quality scoring of larvae and postlarvae based on movement patterns and behavior

Use Cases

RAS Tank Monitoring

Continuous population monitoring in recirculating systems without draining tanks or netting fish. Track biomass in real-time to optimize feeding and prevent overloading biofilters.

Harvest Planning

Accurate pre-harvest counts and size grading to plan logistics, processing capacity, and market allocation. Reduce harvest errors and improve operational efficiency.

Growth Tracking

Monitor growth rates and size distribution over time to evaluate feed performance, identify health issues early, and optimize production cycles for maximum profitability.

Pricing & Plans

Custom pricing based on your operation size, number of cameras, and deployment model. Contact us for a tailored quote.

Contact for Pricing

Why Choose Our AI Counting System?

Aquaculture-Specific AI

Trained on real aquaculture data, not generic object detection models. Works in turbid water, varying lighting, and high-density conditions.

Proven in Production

Deployed in commercial farms across multiple species (shrimp, tilapia, salmon) with verified accuracy and reliability.

Flexible Deployment

Cloud-based for ease of use, or edge processing for locations with limited internet connectivity. Your choice.

Ongoing Improvement

AI models continuously improve with more data. We update the system regularly with the latest algorithms and features.

Ready to Automate Fish Counting?

Request a demo to see our AI counting system in action. We'll show you how it works with your specific operation.

Request Demo