Automatic Vehicle Based Human Detection and Tracking in Underwater

Abstract

The human detection and tracking is a challenge for underwater. The focus of this research was automatic detection and tracking of realistic underwater. These systems are developed by using vision-based method. Hence, we present our solution of an automatic underwater operated Vehicle in which we will fit the camera to detect the human in optimal time. This essay suggests ways to save people who have drowned in the water because it can be challenging to find and save them if they fell into the lake instead of under the water. In this instance, a life-saving rescuer dove underwater to look for the person who had fallen into the water. This deceives him in two ways, either preventing him from saving a human life or putting him in danger. A new strategy for saving the drowning person under water has been proposed after taking into account all of these factors. The suggested technique makes use of a wireless robot that can be controlled via Li-Fi (Visible light communication) technology, a remotely operated vehicle (ROV), and a PIR (Pyroelectric Infrared Sensor) to detect people in the water. The proposed device, which combines a camera and a sensor, searches underwater for humans to be saved in order to quickly and easily identify them, locate them, and alert the rescue team to save them.

Keywords: Automatic vehicle, Human detection, Underwater tracking.

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