There was an interesting talk given by Regina Dugan of DARPA on December 14, 2011 for the engineering students and social studies students at MIT titled; ”Just Make It” which of course is a ”take-off” literally on the Nike Brand theme; Just Do It! – in this talk she mentions an aircraft manufacturing company which works without assembly lines and has been able to increase time to build from start to finish by a factor of 2. Each aircraft stays put, the folks working on it move. Okay so, that makes sense, and Rolls Royce and other high-end auto manufacturers use similar techniques, as to many of the hand-crafted high-end specialty cars.
Cleaning robot is an autonomous robot that cleans floor, windows, lawns, and others. It is employed in mopping, UV sterilization, and other purposes in household as well as industrial applications. Cleaning robot minimizes human efforts and saves time, economical and electricity. People with disability can use cleaning robot as an alternative for expensive housekeeping services. Technological advancement has made robots more intelligent and they are able to detect different amount of dirt at different spots.
Machine vision has a wide range of applications in industrial automation: 2D Robot Vision. 2D vision systems use line-scan or area-scan cameras to capture photographic images that contain width and length, but no depth. By processing these images, they measure the visible characteristics of an object, and feed robotic handling systems data on its position, rotational orientation, and type.
According to Research Analyst, principal author of the market research study, “Industrial robot vendors have discovered that with intelligent use of new technology, they can dominate an aspect of some manufacturing automated process for a particular sector. As the early adopters in the auto industry have proven, robots do the work cheaper and better than humans once a repetitive process has been evolved. Industrial robots make the difference between winning competitive advantage or losing it. Solutions offered by vendors are creating market growth opportunities .”
Contour Inspection. Machine vision systems for contour inspection examine the profile of an object using high-resolution cameras and 3D sensors to ensure it is free from deviations (e.g. chips), which affect the shape and thus the function of the product. They also check measurements such as length, width, and radius to ensure they are within set parameters.