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Automated system counts rainbow trout using computer vision, indicating a solution for precise tracking and accounting.
An automated computer-vision system is presented for accurate counting of rainbow trout moving from grow-out ponds to a processing conveyor. The solution leverages YOLOv7 for fast and precise fish detection, while StrongSORT provides robust multi-object tracking. Counting is triggered when unique tracks cross a virtual region-of-interest (ROI) line, thereby eliminating double counts.
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N. Chouvalov (2025) studied this question.
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