"Machine vision and image processing" - 5 new articles
Xcitex President to give high speed video WebcastVision Systems Design, the leading publication for machine and computer vision professionals has invited Xcitex President Peter Carellas to conduct an industry wide webcast on High Speed Video Technologies and Applications. The webcast will cover the current technologies used in the fast-growing high-speed slow motion video industry and review common applications. The webcast will be held on January 19 at 1pm Eastern Standard Time (EST). Engineers and systems developers will learn how high-speed camera vendors achieve these fast frame rates, how to deploy the cameras, and how image analysis software can be used in numerous applications to track and analyze captured image sequences. To enroll as a viewer, go to: http://www.optoiq.com/index/webcasts/webcast-display/1006/webcasts/vision-systems-design/live-events/fundamentals-of-machine-vision-high-speed-imaging.html Vision system grades asparagusBased in Cambridge, New Zealand, ORAKA Technologies has been offering asparagus grading systems for the past 20 years. ORAKA’s electronic graders and sorters use CCD cameras sensitive enough to pick out fine details on asparagus spears. These cameras take snapshot images of asparagus spears as they pass under a camera station. One image of the butt end of the spear is taken with one camera and an image of the tip end is taken with another at 12 frames per second. Images are processed by ORAKA software to measure the asparagus for diameter, color, shape and maturity. The software also checks for various defects and abnormalities on the asparagus spears. When processing is complete the software automatically sorts the spears on the line by length and thickness and the system then sorts them into one of 64 chutes. For more information, go to: http://www.lumenera.com/resources/documents/casestudies/Oraka12092009.pdf Optimization of image processing algorithmsHigh quality image and video processing has become an important part in many professional and consumer applications. Unfortunately, it often comes with a high performance price. In such cases, software vendors are forced to compromise some of the quality, resort to more powerful hardware, and invest many programming resources to optimize their code to achieve adequate performance. In this article, Guy Ben Haim of Intel shares insights and methods gained during a shared work by HP Labs and Intel Software and Services Group on optimizing several useful imaging algorithms. It focuses on how the multi-core architecture of 5500 series Intel Xeon Processors combined with Intel’s Single Instruction Multiple Data (SIMD) technology can be exploited to achieve a significant performance boost. The article includes code examples to demonstrate the optimization process, starting from a serial non-optimized baseline algorithm and then applying data layout modifications to make the code more SIMD-friendly. For more information, go to: http://software.intel.com/en-us/articles/optimization-of-image-processing-algorithms-a-case-study/ Data matrix code traces cheese productionIdentification codes, such as a 2D code or Data Matrix code, are not only applied to state-of-the-art technology products, they are also applied to the cheese we eat on a daily basis. These codes are not only mandatory, but also necessary for safeguarding quality during production. They help minimize food safety risks after the production phase as well, because every cheese can be individually traced. The ability to identify each individual cheese as a unique item in the production chain is an essential component. In the past, these codes consisted of regular text. Now, Isotron Systems and Het Kaasmerk B.V. have introduced 2D dot matrix codes to cheese producers. They improved the contrast and cell size of the 2D code on the cheese marks that include data including the ingredients, moisture and salt content, dimensions and weight of the cheese. So, when irregularities or mistakes come to light, action can be taken immediately. For more information, go to: http://www.cognex.com/ApplicationsIndustries/TypesOfApplications/default.aspx?id=3640&utm_campaign=E1401&utm_medium=newsletter&utm_source=cognex Vision system monitors parking offendersFredericksburg, VA is one city that revolutionized the way it manages parking. By adopting an automated parking system known as autoChalk from Tannery Creek Systems (Concord, ON, Canada), the city has enjoyed greater revenues, improved efficiency, and far fewer complaints and repeat offenders. AutoChalk is built with four Sony XCD-V90CR color cameras encased in weather-proof housings that are mounted on the parking enforcement officers vehicle. As the car drives through the parking area, the cameras scan each car and transfer the image data to a Panasonic Toughbook mobile computer where it is processed by the Matrox Imaging Library (MIL). Tannery Creek's custom-built software also analyzes the image for the vehicle's size, shape and color, and time-stamps the image as well. This image data is internally mapped to the world coordinates that are obtained by the parking vehicle's GPS. When the car makes a second pass in the parking zone, perhaps two hours later, the cameras take a second group of images and compare the results to the first set. If the images and GPS coordinates match, the car is violating the parking terms and the parking enforcement officers issues a ticket. A first offence results in a warning only, and fines are scaled according to the driver's parking history. For more information, go to: http://www.matrox.com/imaging/en/press/feature/traffic/parking/ More Recent Articles
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