Visual Inference for Iot Systems: A Practical Approach


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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.



Author: Delia Velasco-Montero, Jorge Fernández-Berni, Angel Rodríguez-Vázquez
Publisher: Springer
Published: 01/31/2023
Pages: 159
Binding Type: Paperback
Weight: 0.56lbs
Size: 9.21h x 6.14w x 0.38d
ISBN13: 9783030909055
ISBN10: 3030909050
BISAC Categories:
- Technology & Engineering | Electrical
- Computers | Software Development & Engineering | Computer Graphics
- Computers | Artificial Intelligence | General