The goal of the proposed project is to employ underwater computer vision technology for an automated surveying of fish species by providing state-of-the-art automatic, non-destructive, cost-effective, and reliable solution. It will be able to detect and classify the available species of fresh water fish and a database of the fish species will also be maintained.
An electroencephalogram (EEG) is a painless test that allows us to acquire the electrical activity of the brain using sensors mounted on the scalp. EEGs have been used since the 1930s and are cheaper to Read more…
As the world is progressing, most organizations and businesses are adopting the latest trends and technologies. One important aspect is the enhanced user experience due to the online availability of services. This project in collaboration Read more…
It is based on state of the art computer vision pose detection and classification models in order to estimate the pose of person. We are working on human action recognition and integrating deep learning and Read more…
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