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Vision Acquisition and Controls Systems

With a Speedgoat real-time target machines equipped with video acquisition and output controls 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 controls applications.

Common Applications

  • 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
Vision Acquisition and Controls Systems

Capabilities

Hardware

  • 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 400 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

Software

  • 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 VHDL applications 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

Benefits

Save costs and reduce risks

  • 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 multi-core CPUs and FPGAs 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

Shorten time-to-market

  • 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

Related User Stories

Real-time target machines for Vision Use

Resources