Automotive electronics company Stanley Electric has adopted Siemens’ Questa Advanced Verification platform as the integrated circuit (IC) functional design verification environment for the design of Stanley’s next-generation microelectromechanical systems (MEMS) device.
Stanley designs innovative ICs for 2D-MEMS mirror devices that control a wide range of automotive and industrial applications requiring high performance, optimal integration, minimal power consumption and low cost.
The target applications for Stanley’s latest 2D-MEMS mirrors are laser-scan headlamp systems, including innovative automotive lighting solutions with 2D-MEMS mirrors that enable high-resolution headlamp systems that dramatically improve nighttime visibility for drivers.
For its latest controller IC design, the company looked to enhance reliability and quality by using Siemens’ Questa Advanced Verification platform to successfully achieve efficient and highly accurate functional verification cycles, which in turn can help Stanley to meet their quality goals.
“We began by identifying the ideal design verification solution for our newest IC for 2D-MEMS mirror devices, which must deliver extremely high quality, accuracy and performance to meet the stringent functional safety requirements of the automotive market,” said Makoto Sakurai, team manager Stanley’s D2P Department.
“We determined that Siemens’ Questa Advanced Verification platform provided the best option to help us achieve our ongoing mission of boosting the quality and reliability of each new MEMS device,” said Sakurai.
Siemens’ Questa Advanced Verification platform is aimed at aligning with the designer’s intent, adhering to the project’s quality criteria, and safeguarding the design throughout its development process. The lint tool, part of the Questa product line, provides functionality for syntax checking and debugging.
Combining the lint tool with the Questa platform’s autocheck functionality establishes an integrated solution that allows customers to analyse code at the design stage and detect bugs early, which can be used to improve efficiency, enhance development predictability and ease pressure on schedules.
