Case Study
Tuesday, December 09
09:30 AM - 10:00 AM
Live in Dearborn, Michigan
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This session explores how image recognition is transforming Human-Machine Interfaces (HMI) beyond traditional boundaries. We’ll delve into innovative applications of technologies not originally designed for Automotive R&D. Attendees will gain insights into cross-domain innovation and practical integration strategies.
The audience will hear about:
Daniel is a Senior Infotainment Test Engineer at Nissan Motor Corporation, specializing in requirements analysis and test planning. With over eight years of experience in automotive software testing, she previously worked at Preh Group and Continental, where she honed her expertise in software validation and quality assurance. Earlier, she contributed to automation projects as an IWS Scholar at Procter & Gamble. Her deep understanding of infotainment systems and rigorous testing methodologies helps drive the development of reliable, user-friendly vehicle technologies.