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Oculi's Vision Architecture: 600x Reduction in Latency-Energy Factor for Visual Edge Applications

EDGE AI FOUNDATION via YouTube

Overview

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Learn about groundbreaking advancements in visual edge computing through this conference talk that showcases Oculi's innovative SPU technology. Explore how their programmable vision sensor achieves a remarkable 600x reduction in latency-energy consumption compared to conventional solutions. Discover the various operational modes including image/video capture, polarity events, smart events, and actionable information output, along with real-time adjustable features like spatial/temporal resolution and dynamic range. Understand how this technology enables always-on vision applications that can run for an entire year on a single AA battery, demonstrated through a pedestrian detection system with sub-4ms latency. Gain insights into practical applications for TinyML vision systems, including presence detection, face recognition, hand tracking, and eye detection, while comparing performance metrics against traditional approaches.

Syllabus

TinyML Asia - Charbel Rizk: Oculi Enables 600x Reduction in Latency-Energy Factor for Visual Edge...

Taught by

EDGE AI FOUNDATION

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