RationOva
Automatic Counting and Quality control of Salmon ova
AI for Precision Counting and Inspection
Accurate counting and quality inspection of salmon ovas is essential to reduce costs and optimize farming
Fast and accurate counting and quality inspection of salmon
ova are crucial for producers and smolt farms. With the global scale-up of
salmon farming, manual egg counting is impractical, and inaccuracies in
volume-based methods can lead to suboptimal smolt tank utilization. RationOva
addresses this by using computer vision to count, measure, and detect defective
eggs on a conveyor belt in real-time, ensuring efficiency and precision.
Key Features
State-of-the-art computer vision
Automatic counting, size estimation, and quality inspection.
Cloud-services
Image analysis results and statistics are stored in the cloud for long-term traceability
User interface
User controls and real-time ova counting and image analysis results are visible on site
Benefits
State-of-the-art counting
speed and accuracy
Automatic quality control
Efficient use of resources
Traceability