Design and implementation of drowning person detection using pattern recognition

A rescue tracking system for drowning person in the pool using stereo has been proposed in this report. The project consists of two major parts in the first part drowning person is identified while in the second stage the person is rescued.

For the identification of the drowning person at least four cameras with a reasonable amount of resolution are required. Image sequences from all the four cameras must be acquired continuously. Once the images would be acquired the first step of the processing chain would be the identification of the quality of the images. If the quality of the image would be reasonable it would be proceeded for further processing. However, if the quality would be reasonably low then quality of the images would be enhanced by using the image quality enhancement algorithms. The captured image would be 24-bit RGB image therefore it would be firstly converted into gray scale. For the removal of distortions and artifacts, introduced during capturing and enhancement different type of filtering techniques would be applied so that image close to the enhanced pristine image could be recovered. The greyscale image then would be further converted into binary image using simple thresh-holding vibe algorithm technique. If the object would be drowning, then more images would be captured with different time frames and would be processed. If the object would be changing its pattern continuously and rapidly, then the decided object would be treat as drowning and a command would be sent to the controller of the rescue robot.

Compétences : Matlab and Mathematica, Algorithme, Ingénierie, Génie Électrique, Programmation C++

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Concernant l'employeur :
( 0 commentaires ) North Bergen, United States

Nº du projet : #21050691

20 freelance font une offre moyenne de $581 pour ce travail


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