SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI, and Multi-sensor Fusion for Contextually Aware Devices


Date:  Wednesday, May 26

Start Time: 10:00 am

End Time: 10:30 am

Contextual awareness is the ability of a system to gather information about its environment and adapt behaviors accordingly. Contextual awareness is enabling enriched user experiences in applications like XR, robotics and automotive. It requires the processing of data from multiple sensors—such as cameras, radar, lidar and motion sensors—using various computer vision and neural network workloads. In this presentation, we will cover CEVA’s latest SensPro2 sensor hub DSP family for contextual awareness processing, including its scalable architecture (combining parallel signal processing and AI inferencing) as well as the unique CEVA neural network optimizing compiler that supports it.

Track

Session Speakers

  • Gil Abraham leads the business development and product marketing at CEVA’s artificial Intelligence and vision business unit. CEVA’s AI & vision BU develops innovative, low-power DSP & AI processors IP for on-the-edge SoC products targeting various markets, including automotive and IoT. Gil graduated from the Ben-Gurion University with a B.Sc. in electrical engineering. During the last 20 years, Gil worked at several international corporations, including Intel, Alcatel-Lucent (Nokia) and Zoran microelectronics, where he held various R&D positions, from real-time embedded programming to system architect. Gil was an integral part of the successful imaging product, marketing & BD groups at CSR (formerly Zoran), a world leader in Imaging SoC and Corephotonics, a start-up that successfully developed innovative computational camera technologies, which was acquired by the System LSI division of Samsung.


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SensPro2 Highly Scalable Sensor Hub DSP for Computer Vision, AI, and Multi-sensor Fusion for Contextually Aware Devices