Researchers mimic fish for new underwater vehicle

Researchers have developed an artificial neural network for use with an autonomous underwater vehicle named Fetch. Characteristics of different fish species were compiled using the side scan sonar data. This information was then grouped into test sets used for training artificial neural networks (ANNs). The team combined the use of enhancement algorithms and image processing, in conjunction with the ANNs, to “teach” the computer to recognize the characteristics of various fish species.