AQUAVISION

AI-Powered Fish Monitoring & Management System

Transforming aquaculture with computer vision, real-time analytics, and IoT integration

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Project Overview

Client

Multiple Commercial Installations

Location

Global Deployment

Year

2024

Status

Production & Continuous Development

AQUAVISION represents the cutting edge of aquaculture technology, combining artificial intelligence, computer vision, and IoT sensors to provide unprecedented insight into fish health, behavior, and growth. Our system automates critical monitoring tasks, reducing labor costs while improving accuracy and enabling proactive farm management.

Developed specifically for the challenges of modern aquaculture, AQUAVISION integrates seamlessly with existing RAS systems and can be deployed in hatcheries, grow-out facilities, and research institutions worldwide.

Key Features

AI Fish Counting

Deep learning algorithms count individual fish with 99.2% accuracy, even in high-density environments with overlapping fish.

99.2% Accuracy

Real-Time Biomass Estimation

Computer vision estimates total biomass and individual fish weights without handling stress, enabling precise feed optimization.

Non-invasive

Behavior Analysis & Health Monitoring

Track swimming patterns, feeding behavior, and activity levels to detect stress, disease, or water quality issues before they become critical.

Early Detection

IoT Water Quality Sensors

Integrated sensors monitor 8 critical water parameters: temperature, DO, pH, ammonia, nitrite, nitrate, salinity, and turbidity.

8 Parameters

Technical Specifications

Hardware

  • Underwater 4K cameras with specialized optics
  • Edge computing units for real-time processing
  • Multi-parameter IoT water quality sensors
  • Industrial-grade networking equipment
  • Backup power systems for reliability

Software

  • TensorFlow/PyTorch ML models
  • Real-time video processing pipeline
  • Cloud-based analytics dashboard
  • Automated alert system
  • Historical data analytics & reporting

Integration

  • RESTful API for third-party integration
  • MQTT protocol for IoT devices
  • Mobile apps (iOS & Android)
  • Export to standard aquaculture software
  • Integration with existing RAS control systems

Benefits & Results

40%

Cost Reduction

Lower labor costs through automation and reduced feed waste

24/7

Continuous Monitoring

Round-the-clock automated surveillance without human fatigue

Early

Disease Detection

Identify health issues days before visible symptoms appear

Additional Benefits

Improved feed conversion ratio (FCR) through optimized feeding
Reduced mortality through early intervention
Better growth uniformity and harvest planning
Data-driven decision making with historical analytics
Compliance documentation and traceability
Scalable from small hatcheries to large commercial farms

Use Cases

RAS Facilities

Perfect for indoor recirculating aquaculture systems growing salmon, trout, tilapia, or other species in controlled environments.

  • High-density monitoring
  • Automated biomass tracking
  • Feed optimization

Shrimp Hatcheries

Monitor larval development, count post-larvae, and optimize feeding schedules in shrimp hatchery operations.

  • Larval stage detection
  • Population estimation
  • Quality control

Cage Farming

Deployable in sea cages and net pens for real-time monitoring of fish in open-water environments.

  • Remote monitoring
  • Escape detection
  • Environmental correlation

Technology Stack

TensorFlowPyTorchOpenCVPythonNode.jsReactPostgreSQLInfluxDBDockerKubernetesAWS / AzureMQTTREST APIGraphQLReact Native

Ready to Transform Your Aquaculture Operation?

Contact us today to schedule a demonstration of AQUAVISION and discover how AI-powered monitoring can revolutionize your fish farm.