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Software which can get high win rate in Premier League,网址 亚娱,link untuk tipu zaztec reels,Vision Acquisition and Controls Systems

With a Speedgoat real-time target machine equipped with video acquisition and other connectivity I/O modules, the Computer Vision and Image Processing Toolboxes from MathWorks, and Simulink Real-Time, you can rapidly build, run, and test video acquisition and control applications. There is a wide range of applications from the design of phone cameras to autonomous vehicle systems.

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  • Tracking and control of objects for automated production lines
  • Autofocus control of cameras, e.g. those used in smartphones and laptops
  • Navigation systems for autonomous cars, ships, or planes
  • Intelligent driver assistance systems
  • Security and monitoring applications


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Vision Acquisition and Controls Systems
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  • High frequency video acquisition, and closed-loop controls up to several MHz (depending on I/O, model complexity, and workflow)
  • Flexible I/O and protocols expansion support: Over 200 I/O modules are available, and over 50 I/O modules can be installed into a single Real-time target system with expansion chassis
  • Your project specific sample rate, I/O, and environmental requirements guaranteed to be met
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  • Design your image processing and controls model in MATLAB & Simulink, drag and drop Speedgoat I/O driver blocks, and configure signal parameters via easy to use dialog fields
  • Autogenerate C or HDL code from Simulink using Simulink Coder and HDL Coder
  • Simulate and test your real-time application running on Speedgoat real-time target machine using Simulink Real-Time
  • Deploy applications for stand-alone execution on a Speedgoat real-time target machine, or use Embedded Coder to implement code on your own video acquisition and controls devices
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  • Rapidly design, implement, run and test complex vision and controls algorithms on a real-time system without having to build expensive and hard to debug hardware
  • No need to develop a complete vision hardware system for mass deployment in early development stages: real-time systems can be expanded with additional I/O and any time, and multicore CPUs and multi-FPGA systems scale well in case sample rate and frequency requirements change
  • Automate and perform extensive tests with your physical hardware at a very early stage, and reduce the likelihood of costly design flaws
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  • Shift the traditional sequential V-diagram to a circular workflow to enable continuous verification and validation of your designs at the earliest possible stages
  • Seamless Model-Based Design workflow support along the entire development cycle including modeling, prototyping, testing, documentation, and embedded integration
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