Visual Inference for Iot Systems: A Practical Approach
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Visual Inference for Iot Systems: A Practical Approach

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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.Author: Delia Velasco-Montero, Jorge Fernández-Berni, Angel Rodríguez-VázquezPublisher: SpringerPublished: 01/31/2023Pages: 159Binding Type: PaperbackWeight: 0.56lbsSize: 9.21h x 6.14w x 0.38dISBN13: 9783030909055ISBN10: 3030909050BISAC Categories:- Technology & Engineering | Electrical- Computers | Software Development & Engineering | Computer Graphics- Computers | Artificial Intelligence | General

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