Designing a machine vision system for a mobile robot to detect and mark dangerous areas

There is no doubt that machine vision systems offer many benefits in many applications, as they improve the ability of machines to adapt and learn. When implementing a new application it is necessary to design a vision system that matches the requirements of the application, as there is a wide range of parameters that must be considered during the design. Our goal in this paper is to learn about these different parameters and define the different requirements for designing a machine vision system for a mobile robot, whose task is to examine different environments autonomously, detect hazardous materials, and mark high-risk areas, in various weather conditions and around the clock

Visually guided vergence in a new stereo camera system

People move their eyes several times each second, to selectivelyanalyze visual information from specific locations. This is impor-tant, because analyzing the whole scene in foveal detail would re-quire a beachball-sized brain and thousands of additional caloriesper day. As artificial vision becomes more sophisticated, it mayface analogous constraints. Anticipating this, we previously devel-oped a robotic head with biologically realistic oculomotor capabil-ities. Here we present a system for accurately orienting the cam-eras toward a three-dimensional point. The robot’s cameras con-verge when looking at something nearby, so each camera shouldideally centre the same visual feature. At the end of a saccade,we combine priors with cross-correlation of the images from eachcamera to iteratively fine-tune their alignment, and we use the ori-entations to set focus distance. This system allows the robot toaccurately view a visual target with both eyes