Demands of aquatic products are increasing dramatically during past decades. Also quality
assurance has gradually received more attention by both producers and consumers. Thus …

This work addresses the problem of automated visual inspection of surface defects on rolled
steel, by using Computer Vision and Artificial Neural Networks. In recent years, the …

Underwater object recognition is one of the most active research fields. Fish population
estimation and classification of fish species are essential tasks for ocean observation …

Bird populations are identified as important biodiversity indicators, so collecting reliable
population data is important to ecologists and scientists. However, existing manual …

This paper presents an automated fish fry counting by detecting the pixel area occupied by
each fish silhouette using image processing. A photo of the fish fry in a specially designed …

This paper describes how the Big Data Research Center of Kyung Hee University and
Benple Inc. developed and deployed an artificial intelligence system to automate the quality …

The monitoring of bird populations can provide important information on the state of
sensitive ecosystems; however, the manual collection of reliable population data is labour …

This paper proposes five different schemes for automatic classification of fish species. These
schemes make the species recognition based on image sample analysis. Different …

Nowadays, as a sub topic of computer vision and fishery industry, fish recognition is still a
challenging work not only because of biodiversity, but also because of the complex …

Behavioral monitoring can be used to monitor aquatic ecosystems and water quality over
time. Using precise and rapid fish performance detection, fishermen may make educated …