Machine Learning Approaches for Convergence of IoT and Blockchain. Группа авторов

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Machine Learning Approaches for Convergence of IoT and Blockchain - Группа авторов

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2012 $1827.64B $1444 5.46% 2013 $1856.72B $1450 6.39% 2014 $2039.13B $1574 7.41% 2015 $2103.59B $1606 8.00% 2016 $2290.43B $1729 8.17% 2017 $2652.24B $1981 7.17% 2018 $2718.73B $2010 6.81% [17] Schematic illustration of India’s economic growth from 2005 to 2018.
Year Number of users % World population
2015 3270M 45%
2016 3631M 49.5%
2017 3885M 51.75%
2018 4208M 55.1%
2019 4383M 58.8%
2020 4648M 59.6%
[18]
Schematic illustration of a graph depicting the plot of the number of internet users.

      There are basically three models suggested in this part of the discussion which are not only limited to the industry. These models use combinations of different technologies to make a better system than an existing one. The models shown over here can be much safer and efficient; the three models suggested over here are as follows:

       Smart homes

       Intelligent CCTV monitoring

       Smart street lights

Schematic illustration of smart homes technology.

      The owner of the house may add details of certain individuals who happen to visit regularly. Upon their arrival, the facial recognition system installed will automatically inform the residents about their presence, either through mobile device notification or voice assistance already existing in the house and access to enter may be granted accordingly. This will reduce human effort required and will increase convenience. Another element that is presently under the future scope for being included into the smart home technology is that of inclusive health monitoring.

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