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"item_title" : "Visual Inference for Iot Systems",
"item_author" : [" Delia Velasco-Montero", "Jorge Fernández-Berni", "Angel Rodríguez-Vázquez "],
"item_description" : "Introduction.- Embedded Vision for the Internet of the Things: State-of-the-Art.- Hardware, Software, and Network Models for Deep-Learning Vision: A Survey.- Optimal Selection of Software and Models for Visual Interference.- Relevant Hardware Metrics for Performance Evaluation.- Prediction of Visual Interference Performance.- A Case Study: Remote Animal Recognition.",
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Visual Inference for Iot Systems : A Practical Approach
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Overview
Introduction.- Embedded Vision for the Internet of the Things: State-of-the-Art.- Hardware, Software, and Network Models for Deep-Learning Vision: A Survey.- Optimal Selection of Software and Models for Visual Interference.- Relevant Hardware Metrics for Performance Evaluation.- Prediction of Visual Interference Performance.- A Case Study: Remote Animal Recognition.
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Details
- ISBN-13: 9783030909024
- ISBN-10: 3030909026
- Publisher: Springer
- Publish Date: January 2022
- Dimensions: 9.21 x 6.14 x 0.44 inches
- Shipping Weight: 0.94 pounds
- Page Count: 159
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