In this presentation, I will cover some of the use cases in detail for in-cabin sensing and how digital signal processors perform under the hood:

• Providing single-DSP cores for different types of workloads, such as vision pre-processing, post-processing, radar FFT acceleration, ToF data processing, sensor fusion, and light inferencing of AI
• Software ecosystems and functional safety • Dedicated neural network processing units (NPUs) to run various types of neural network workloads and enable machines to learn and adapt quickly and safely