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Design approach of visual image detection in rescue robot system of urban search using Bayesian’s logical algorithm

In this paper, we present a rescue robot having a novel mapping management system with robustly generated image segmentation and visualization using wireless camera and sensors. This paper propose of the vision subsystem was to image the surrounding environment and to communicate the scene to the remote pilot; the vision subsystem consisted of all onboard wireless camera connected with wireless sensor network.

We proposed a rescue robot having software which allowed the operator to initiate a web server to view the camera over the wireless network with minimal delay. The course will resembles a miniature of what a disaster situation looks like after an earthquake. We proposed rescue robot to make it getting smarter, safe path from itself to the targets by path planning. The main proposed of this paper is to focus on image segmentation and detection of live human body.