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

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Название Machine Learning Approaches for Convergence of IoT and Blockchain
Автор произведения Группа авторов
Жанр Программы
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Издательство Программы
Год выпуска 0
isbn 9781119761877



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the power, the user may even be able to control the brightness or the shade and tone of the lighting according one’s own taste and preference. Another element is automated facial recognition of frequent visitors.

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.

Schematic illustration of specialized surveillance using IoT and blockchain.

      This will ensure that once the camera captures any particular event it cannot be erased or tampered with [23]. Another feature that can be combined with the surveillance technology mentioned so far is that once the images captured by the camera are sent out to the cloud, it can be put under two step processing. First step is face detecting and extraction wherein if there happens to be face in the pictures or videos captured by the camera, it would be recognized and an image of the face would be extracted as clear as possible. The second step is face matching, which will give details about the anonymous defaulter to be traced. However, only authorized personal will be able to access the required database resource for face matching in order to ensure that it cannot by misused. The surveillance cameras mentioned thus far can be used for residential areas as well as public spaces. The cameras with the face detection involved particularly can be used to track down drivers who do not abide by the traffic rules through the data delivered by the camera. Thus, IoT and blockchain together have set new standards for ensuring specialized safety [24].

Schematic illustration of smart street lighting enabled with IoT and blockchain.

      In Indian scenario, cases like robbery, assault, and kidnapping can be tracked down and prevented. The problems that this technique solves are conserving energy by preventing wastage and turning the street light on or off as and when required; it also contributes to making streets safer by helping police trace defaulters and prevent many crimes. This also eliminates the need of man power required to regulate the power of street lights. Since this technique involves sensors and storage over cloud using blockchain, we refer to this as a “smart” street lighting system.

      1. Kenessey, Z., The primary, secondary, tertiary