Visual Inference for IoT Systems: A Practical Approach

Visual Inference for IoT Systems: A Practical Approach

Rodriguez-Vazquez, Angel; Velasco-Montero, Delia; Fernandez-Berni, Jorge

Springer Nature Switzerland AG

01/2022

159

Dura

Inglês

9783030909024

15 a 20 dias

436

Descrição não disponível.
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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Computer Vision;Embedded Vision;Smart Vision Sensors for IoT;Cyber-Physical Systems;Edge Vision;Internet of Things;Deep Neural Networks;Deep Learning;Convolutional Neural Networks;Inference Performance;Remote Animal Recognition