Robot See, Robot Do…Robot Understand.

MACHINE VISION The Blending of Intuitive Perception and Technology Machine vision. Futuristic mechanical eyes that perceive and brains that analyze are what machine vision is all about. Without it, our modern future full of thinking computers and self-directed robots won't be possible. WHAT IS MACHINE VISION? O A combination of hardware and software, machine vision: Captures images Compares them to existing data Detects unique Makes decisions characteristics based on that and anomalies information All within a matter of seconds. 0:00:02" MACHINE VISION SYSTEMS SOLVE COMMON TASKS What can machine vision actually do for us? Recognition sample Using information such as a bar code or physical characteristics (unique size, shape, color), machine vision can discern one object or person as different from another. 1026 5845211597 5 Machine vision will compare the observed information to set criteria to verify an identity. Inspection Machine vision can determine if scanning- an object has imperfections by detecting things like protrusions, scratches, and missing parts. It can also be used to ensure a process is completed correctly by examining finished results. Location analysis Using 2D or 3D information, machine vision will feed information into a system to make sure components are properly aligned and positioned. HOW MACHINE VISION IMPACTS OUR EVERYDAY LIVES Machine vision already affects your everyday life. Consider these following systems that currently use machine vision: Food inspection Almost every food product in the modern grocery is scanned to ensure quality. Results: Fruit, vegetables, and processed foods are visually appealing and uniform in size, shape, color, and flavor. Pharmaceutical manufacturing Machine vision is used to process most medications on the manufacturing line. Results: All tablets and capsules have the correct dose, dimension, and are without flaws. Customized human form products When measuring for a new hearing aid or replacement tooth, machine vision will guarantee a custom fit just for you. Hearing Aid Results: Machine vision creates an image, a mold, and a personalized final product with exact color, texture, and size match. ADVANCES IN ALGORITHMS There are a lot of computer algorithms that lie behind machine vision. As algorithm advances are made, amazing machine vision applications will be perfected, such as: Abnormal crowd behavior detection will be used to predict riots or crimes. Danger IPassive Driver fatigue detection warns drivers automatically and prevents auto accidents. Face detection that recognizes you as soon as you enter your home or a retail store. Name: ****** Age; **** Detect |.--- ------ Biological monitoring that observes your physical condition and recommends medications, diagnostic tests, or personal wellness activities. BLOOD PRESSURE: HIGH HEART RATE BRAIN WAVES 45% HEALTH STATUS THE FUTURE OF MACHINE VISION As companies and consumers push for applications that require speed, high resolution, and good light sensitivity, machine vision technologies will continue to advance. The machine vision market is predicted to grow to over $2 billion by 2012 and continue growing every year after that. 2.5 2.0 2.1 1.8 1.6 1.7 2.0 1.5 1.5 1.6 1.5 1.4 1.2 2.0 0.5 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 YEAR >>>>>> That means faster and more dramatic developments annually. «««« Where machine vision previously worked only with binary processing - low-resolution, black-and-white images - today, advanced machine vision innovations will involve more intensive image processing, including: Multiple detection passes 2 Automatic image rotation 3 Ever-smaller hardware Much lower power consumption 5 $$$ Greater affordability Significantly higher resolution from greater distances Stereo camera calibration for three-dimensional analysis The hardware and software necessary to make many machine vision technologies a reality already exist. High-speed cameras Some cameras already detect and track more than 6,000 parts per minute. Intelligent cameras Many cameras have on-board auto-adjust options to control for changes in light, speed, and distance automatically for the best picture. PC-free cameras These capture images and process them on-board, with the capability of uploading and downloading data via USB as needed. Massive image libraries To analyze data, machine vision requires enormous image libraries, which are constantly expanding and increasing in sophistication. Easier interfaces Using touch-sensitive surfaces, machine vision interfaces are becoming more user-friendly and simple to operate. Soon enough, the cost of machine vision will drop sufficiently to make it a reality for every consumer. SOURCES Brought to you by MEZZMER > http://www.cognex.com • http://www.pptvision.com • http://scienceblog.com • http://www.controldesign.com > http://www.qualitydigest.com • http://www.iopp.org » http://www.machinevisiononline.org • http://www.bccresearch.com • http://www.photonics.com (SNOIT719) $