computer vision-based deep learning
The dataset consists of around 335K real images equally distributed among 7 classes. The classes represent different levels of rain intensity, namely "Clear", "Slanting Heavy Rain", "Vertical Heavy Rain", "Slanting Medium Rain", "Vertical Medium Rain", "Slanting Low Rain", and "Vertical Low Rain". The dataset has been acquired during laboratory experiments and simulates a low-altitude flight. The system consists of a visual odometry system comprising a processing unit and a depth camera, namely an Intel Real Sense D435i.
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We are delighted to present a comprehensive video showcasing our operational prototype designed specifically for intravenous therapy. The submitted video shows the sequential flow of the entire process, starting from the preparatory phase to initiate fluid therapy and seamlessly transitioning into the administration phase. It highlights the real-time integration of our fabricated device with a web browser and an automated control system, ensuring the high precision and accuracy in fluid administration.
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