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Nvidia unveils low-power chip for sub-millisecond face detection

Nvidia researchers have developed an always-on vision system capable of detecting human faces in under a millisecond. This system, integrated into a chip, consumes less than 5 milliwatts while operating at 60 frames per second, a significant reduction from typical systems requiring around 10 watts. The technology utilizes a "race to sleep" approach, where a deep learning accelerator performs detection rapidly and then the system enters a low-power state, making it suitable for applications like autonomous vehicles and power-saving consumer electronics. AI

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RANK_REASON Nvidia researchers presented a new efficient vision-processing system at a conference, detailing its technical specifications and potential applications.

Read on IEEE Spectrum — AI →

Nvidia unveils low-power chip for sub-millisecond face detection

COVERAGE [1]

  1. IEEE Spectrum — AI TIER_1 · Katherine Bourzac ·

    Nvidia’s Always-On Chip Detects Faces in Less Than a Millisecond

    <img src="https://spectrum.ieee.org/media-library/close-up-of-a-woman-s-eyes-with-the-rest-of-her-face-obscured-by-scattered-pixels.jpg?id=65305602&amp;width=1200&amp;height=800&amp;coordinates=0%2C83%2C0%2C84" /><br /><br /><p>Always-on vision systems might be used in autonomous…