The application of artificial intelligence in the field of acoustic sensors in underwater environment

Artificial Intelligence (AI), with its ability to analyze vast amounts of data, has emerged as a powerful tool for enhancing the efficiency of underwater detection systems using hydroacoustic sensors. This paper examines the role of AI, including machine learning and deep learning algorithms, in analyzing underwater acoustic data, identifying underwater targets, and improving the accuracy and speed of detection. It provides an overview of the advancements in AI for underwater acoustic detection and discusses the advantages of applying AI technologies to process hydroacoustic signals, such as pattern recognition and target classification. Furthermore, the challenges associated with this technology are analyzed. Overall, the integration of hydroacoustic sensors with AI technologies has opened new horizons in underwater monitoring and detection, offering broad applications in areas such as maritime security, scientific exploration, and underwater equipment management.

کلیدواژه ها:

Acoustic sensors ، artificial intelligence ، hydroacoustics ، marine detectors ، machine learning