Case Study
Monday, December 08
09:15 AM - 09:40 AM
Live in Dearborn, Michigan
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In-cabin sensing is evolving rapidly—shifting from basic detection to a fully integrated intelligence layer within the vehicle. With AI at the core, next-generation systems can now anticipate driver and passenger needs, enable predictive safety interventions, and deliver hyper-personalized experiences. This session will explore how advances in sensor fusion (camera, radar, ToF, and biometrics), edge AI, and multimodal interfaces are transforming occupant monitoring and interaction. We’ll discuss the role of these systems in meeting and exceeding upcoming Euro NCAP, GSR, and NHTSA requirements while balancing comfort, convenience, and data ethics in a privacy-conscious era.
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Krishnakumar is a seasoned software professional with more than a decade of experience working across multiple industries such as eCommerce, Healthcare, Governance, Telecom, and Automotive. A self-motivated and driven person with the ability to learn and adapt quickly. Very much a language, technology, and platform agnostic. Worked on legacy technologies like Mainframe to cutting-edge technologies like Tensorflow, NVIDIA Jetson Nano, and Intel OpenVINO. Active participation in IP-related activities and innovation.
The Pop in Your Job
Passionate about design thinking, semiotics, systems thinking, complexity theory, and interdisciplinary studies and apply them to build adaptable and scalable systems, solve business problems, and help frame winning strategies.
