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Low-Power Computer Vision : Improve the Efficiency of Artificial Intelligence

By: (Edited by) Bo Chen , (Edited by) George K. Thiruvathukal , (Edited by) Jaeyoun Kim , (Edited by) Yiran Chen , (Edited by) Yung-Hsiang Lu

Manufacture on Demand

Ksh 8,550.00

Format: Paperback / Softback

ISBN-10: 0367755289

ISBN-13: 9780367755287

Series: Chapman & Hall/CRC Computer Vision

Publisher: Taylor & Francis Ltd

Imprint: Chapman & Hall/CRC

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Oct 4th, 2024

Print length: 438 Pages

Weight: 725 grams

Product Classification: Energy
Engineering: general
Ergonomics
Energy technology & engineering
Electrical engineering

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Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015.
Energy efficiency is critical for running computer vision on battery-powered systems, such as mobile phones or UAVs (unmanned aerial vehicles, or drones). This book collects the methods that have won the annual IEEE Low-Power Computer Vision Challenges since 2015. The winners share their solutions and provide insight on how to improve the efficiency of machine learning systems.

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