menu
{ "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/03/090/902/3030909026_b.jpg", "price_data" : { "retail_price" : "139.99", "online_price" : "139.99", "our_price" : "139.99", "club_price" : "139.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Visual Inference for Iot Systems|Delia Velasco-Montero

Visual Inference for Iot Systems : A Practical Approach

local_shippingShip to Me
In Stock.
FREE Shipping for Club Members help

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.

This item is Non-Returnable

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

Related Categories

You May Also Like...

    1

BAM Customer Reviews