Cutting Algorithm Development Time with MATLAB: Q&A with FLIR

技术

平台即服务 (PaaS) - 应用开发平台
应用基础设施与中间件 - 数据交换与集成

适用行业

安全与公共安全

适用功能

产品研发
质量保证

用例

预测性维护
机器状态监测

服务

软件设计与工程服务
系统集成

挑战

Our hardware engineers were translating algorithms developed by algorithm engineers into HDL using written specifications, and without knowing exactly how the algorithms worked. If the FPGA implementation did not perform like our simulations, we never knew if the implementation or the algorithm was the problem. And even a small change to the algorithm meant rewriting most of the HDL.

关于客户

Founded in 1978, and with 2800 employees worldwide, FLIR Systems designs and manufactures advanced sensing technologies for applications including search and rescue, airborne and ground-based surveillance, manufacturing process control, and environmental monitoring.

解决方案

With MATLAB® and HDL Coder™, we can generate synthesizable HDL code directly from the algorithm. The HDL is implemented and tested on the FPGA, and the results are verified against the simulation. Our customer was ecstatic when, a few months after seeing our MATLAB simulations of a new thermal imaging filter, we showed them the first working camera with this new filter and the camera performed exactly like the simulations.

运营影响

Our algorithm developers produce FPGA prototypes on their own, cutting prototyping time significantly.
We increased MATLAB code reuse for HDL code generation for other projects from 0% to 30%.
We can make even major changes to our algorithms quickly: In just three hours, one of our engineers made a significant algorithmic change to a core filter that previously would have required six weeks.

数量效益

Cutting prototyping time by up to 60%.
Increased MATLAB code reuse for HDL code generation from 0% to 30%.
Significant algorithmic changes that previously required six weeks now take just three hours.