Visual Inference for IoT Systems: A Practical Approach

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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• Inteligência artificial
• Hardware do computador
• Engenharia electrotécnica
• Processamento de imagens

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