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@article{159592,
        author = {Kareena Lakhani and Aditya Kulkarni and Pooja Pawar and Shubhangi Joshi},
        title = {Underwater Image Surveillance/ Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {12},
        pages = {883-887},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=159592},
        abstract = {Underwater Imaging is a challenging task due to the properties of light and the distortion of images caused by the refractive index of water. To address these challenges, the system uses specialized cameras and lighting that are optimized for underwater use. In addition, the system incorporates advanced image processing techniques, including machine learning algorithms, to enhance the quality of the images and enable object recognition. The system can detect and classify a wide range of underwater objects, including marine animals, plants, and human-made objects such as underwater vehicles or debris. The system’s accuracy is evaluated through various experiments and field test, where it demonstrated a high level of performance, even in low light conditions or turbid water. The potential applications of this technology are extensive. Overall, the development and implementation of this underwater image surveillance and recognition system represents a significant advancement in the field of underwater imaging, with wide range of potential applications across various industries.},
        keywords = {Underwater Image surveillance, Image processing, Image recognition, motion detection, object detection.},
        month = {},
        }