MathWorks and FLIR partner to speed thermal imaging FPGA development

Aug. 22, 2012
Natick, MA--MathWorks announced that FLIR used MathWorks' MATLAB and HDL Coder software to reduce thermal imaging FPGA development time by 60%.

Natick, MA--MathWorks, a developer of mathematical computing software including MATLAB (a programming environment for algorithm development, data analysis, visualization, and numeric computation) and Simulink (a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems), announced that FLIR Systems (Wilsonville, OR) used MATLAB and HDL (Hardware Description Language) Coder to reduce thermal imaging field-programmable gate array (FPGA) development time from concept to field-testable prototype by 60%. By using MATLAB to design, simulate, and evaluate algorithms, and HDL Coder to rapidly implement the best algorithms on FPGAs, FLIR was able to speed development, complete enhancements in hours instead of weeks, and reuse code for prototyping and production.

MATLAB and HDL Coder lets FLIR's algorithm engineers produce FPGA prototypes themselves instead of handing written specifications to hardware engineers, who may not have full knowledge of the algorithm. This new thermal imaging algorithm development workflow also eliminates the error-prone step of translating algorithms to HDL by hand, adding time for developers to try more design iterations. As a result, FLIR algorithm engineers are able to explore a variety of design variations, gain confidence in the final prototype, and reuse code for production.

"With MATLAB and HDL Coder we are much more responsive to marketplace needs. We now embrace change, because we can take a new idea to a real-time-capable hardware prototype in just a few weeks. There is more joy in engineering, so we've increased job satisfaction as well as customer satisfaction," said Nicholas Hogasten, image processing technology manager, FLIR Systems.

Founded in 1984, MathWorks employs more than 2400 people in 15 countries.

SOURCE: MathWorks; www.mathworks.com/company/newsroom/FLIR-Speeds-Thermal-Imaging-FPGA-Development-Through-Automatic-HDL-Generation-From-MATLAB.html

About the Author

Gail Overton | Senior Editor (2004-2020)

Gail has more than 30 years of engineering, marketing, product management, and editorial experience in the photonics and optical communications industry. Before joining the staff at Laser Focus World in 2004, she held many product management and product marketing roles in the fiber-optics industry, most notably at Hughes (El Segundo, CA), GTE Labs (Waltham, MA), Corning (Corning, NY), Photon Kinetics (Beaverton, OR), and Newport Corporation (Irvine, CA). During her marketing career, Gail published articles in WDM Solutions and Sensors magazine and traveled internationally to conduct product and sales training. Gail received her BS degree in physics, with an emphasis in optics, from San Diego State University in San Diego, CA in May 1986.

Sponsored Recommendations

March 31, 2025
Enhance your remote sensing capabilities with Chroma's precision-engineered optical filters, designed for applications such as environmental monitoring, geospatial mapping, and...
March 31, 2025
Designed for compatibility with a wide range of systems, Chroma's UV filters are engineered to feature high transmission, superior out-of-band blocking, steep edge transitions...
March 31, 2025
Discover strategies to balance component performance and system design, reducing development time and costs while maximizing efficiency.
March 31, 2025
Explore the essential role of optical filters in enhancing Raman spectroscopy measurements including the various filter types and their applications in improving signal-to-noise...

Voice your opinion!

To join the conversation, and become an exclusive member of Laser Focus World, create an account today!