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The Baipatra VSC podcast is inviting internship opportunities for students, faculties, and scholars interested in innovative fields of designs and engineering. This month's third internship opportunity is focused on underwater image processing using multi-criteria decision-making (MCDM) and artificial intelligence. Underwater image processing involves capturing images of underwater bodies, such as sea, ocean, or lake beds, to retrieve information.
Underwater image processing is used in defense and marine surveys, with submarines being an example. They monitor ocean beds and decide their path after capturing the bed situation. Submarines can also be used for scientific purposes, film shoots, and underwater drones can capture images of underwater beds.
However, when water is above the bed, processing underwater images can be challenging due to noises and turbulence in the water. These disturbances can impact the quality of the images and take a long time to process. To reduce processing time, AI has been used to process underwater images quickly.
The goal is to process the images quickly, which can then be fed into underwater vehicles to automatically track their pathway based on the objective. However, processing images quickly can compromise the quality of the images.
There are various ways to process underwater images using MCDM and AI, but the pixel-based method is the most common approach. The goal is to reduce processing time and improve the quality of the images.
In conclusion, the Baipatra VSC podcast is offering a unique opportunity for students, faculty, and scholars interested in working in innovative fields of designs and engineering to provide a sustainable world for future generations.
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