Robot vision and video transmission

  • Authors:

  • A. Ritchie;J. Conradi;A. Prevot;E. A. Yfantis

  • Affiliations:

  • Image Processing Computer Graphics Intelligent Systems Lab., School of Computer Science, Engineering College, University of Nevada, Las Vegas;Image Processing Computer Graphics Intelligent Systems Lab., School of Computer Science, Engineering College, University of Nevada, Las Vegas;Image Processing Computer Graphics Intelligent Systems Lab., School of Computer Science, Engineering College, University of Nevada, Las Vegas;Image Processing Computer Graphics Intelligent Systems Lab., School of Computer Science, Engineering College, University of Nevada, Las Vegas

  • Venue:
  • WSEAS TRANSACTIONS on COMMUNICATIONS
  • Year:
  • 2010

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Abstract

In this research paper we examine the problem of distance resolution using four cameras and a noninvasive laser light for robot vision. The cameras are placed in a cross configuration and the noninvasive laser is in the center of the cross. The system constitutes the vision part of a robot used for remote patient visits by physicians. The system enables physicians to perform between visit comparisons in order to assess health patient improvements. During the patient's hospital robot visits made with the help of a nurse, the cameras take the relevant patient images and transmit them wirelessly to a file server housed in the hospital where they are stored and from where they are also being transmitted to the Phycisian's office for real time examination, and comparison with the images of the previous visit. The ROY is compressed lossless and the remaining part of the image is compressed lossy. Each time the robot visits a patient positions itself on a fixed distance from the center of the ROY. Therefore distance resolution and distance tolerance interval estimation is very important. In this research paper we model the distance with a Gamma probability distribution and we compute the tolerance interval of the distance. Our system is part of a sophisticated system that includes personal patient networks, and radiological image -- video management, and secure network transmission.