SAN JOSE, Calif., Nov. 25, 2013 /PRNewswire/ -- Xilinx, Inc.

(NASDAQ: XLNX) today announced accelerated design productivity for applications, leveraging HALCON and VisualApplets development platforms to create an end-to-end Smarter Vision development environment for the Zynq®-7000 All Programmable SoC. HALCON software from MVTec for machine vision provides high-performance and comprehensive support for video analytics and runs on multicore platforms like the Zynq All Programmable SoC. Sure Cuts Alot 2 Serial Number Cracking. HALCON includes a library of more than 1800 operators for blob analysis, morphology, matching, measuring, identification, and 3D vision.

A detailed comparison of HALCON vs. Cognex VisionPro. Many times we are asked how MVTec HALCON compares to. Cannot be deployed as a run time license.

VisualApplets from Silicon Software provides advanced image processing libraries and high-level design entry and simulation tools that enable users to quickly and efficiently program FPGA hardware for industrial image processing. The strong collaboration of Xilinx with HALCON and VisualApplets creates an end-to-end Smarter Vision development environment for Zynq-7000 All Programmable SoC users that reduces design cycles and time to market. (Logo: ) Offering both hardware and software re-programmability, the Zynq-7000 SoC is well suited for the system flexibility and customization required by machine vision applications.

The dual-core ARM® Cortex™-A9 MPCore™ processing system inherent in the Zynq-7000 architecture provides a software programming platform that runs application software and executes networking and management tasks, while the Xilinx® 28nm programmable logic provides a hardware programming platform capable of real-time performance for image processing, filtering and scaling. Placing key image processing functions inside the FPGA fabric accelerates performance faster than a traditional software approach. 'In the past, machine vision worked via central processing on a PC with cameras transmitting video and images; however, with the development of embedded technology, smart vision cameras and compact vision systems have developed to support the distributed intelligence at nodes,' said Christoph Fritsch, director of industrial, science and medical segment markets for Xilinx.