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Ubiquitous Computing Vision in IoT

Ubiquitous Computing vision begins with the technology that captures and stores images and then transforms images into information that can be processed further. It comprises of numerous technologies working together. Computing vision engineering is an interdisciplinary subject requiring cross-functional and systems expertise in a number of these technologies.

A version of the Deep Neural Network (DNN) also called the Convolutional Neural Network (CNN), which demonstrates a huge leap in accuracy. That development drove renewed interest and excitement into the field of computer vision engineering. In applications requiring image classification and facial recognition, deep learning algorithms even exceeded their human counterparts. Deep learning has created an era of entering cognitive technology where deep learning and computer vision come together to address high level and complex problems of the human brain.
Many technology developments and advancements are also happening rapidly at many levels beyond conventional camera sensors. 
Some recent advancements are:
·   Lasers and infrared sensors  both combined to sense the depth and distance, which are one of the critical enablers of 3D mapping applications and self-driving cars
·    Nonintrusive sensors that track vital signs of medical patients without physical contact
·   Ultra low cost and low power vision sensors that can be deployed anywhere for a longer period of time
·   High frequency cameras that can capture subtle movements not perceivable by human   eyes to help athletes analyze their gaits

Some other interesting applications:
·       Agricultural drones that monitors the health of crops
·       Next-generation home security cameras
·       Transportation infrastructure management UAV drone inspections

For furthermore updates on the availing research proficiency, do visit: https://neuralnetworks.conferenceseries.com/abstract-submission.php

For details about the webpage, go through the link provided; PS: https://neuralnetworks.conferenceseries.com/  


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