Название: Machine Learning Approaches for Convergence of IoT and Blockchain
Автор: Группа авторов
Издательство: John Wiley & Sons Limited
Жанр: Программы
isbn: 9781119761877
isbn:
Figure 1.13 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].
Another application of IoT and blockchain is smart and adaptive street lighting system depicted in Figure 1.14. Under this concept, a sunlight sensor is attached to the street light which automatically switches the street light on or off detecting whether it is day or night time. In case as some instance due to weather or any such cause there happens to be darkness, these street lights will sense it and illuminate. Alongside, a camera should be put on the top of the pole to monitor the activities of the vehicles or people surrounding it. The input from the camera and sensor is to be stored onto a cloud server. Storage of the content of this cloud server onto a blockchain will help ensure the safety of the data transferred by the sensors and the cameras. Another feature that can additionally be present is to create a panic button on the street light poles, at a height reachable by humans. In case of an emergency or mishappening this button can be pressed which will set of an alarm in the nearest police station. The concerned police station will also be able to access the live footage of the place of incident via the cloud server. This will immediately inform the police regarding the requirement of their presence and also help them keep proof against the culprit that will later help while seeking judicial remedy.
Figure 1.14 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.
1.8 Conclusion
Let us now summarize all that we read throughout the chapter. First of all, we understood the concept of what an industry is, how it functions and its features and responsibilities. We particularly read about the functioning of the agriculture industry, the manufacturing industry, food processing units, healthcare, military, and information technology industry. Next, we discussed about the technology of blockchain. It is basically storage of information into blocks that are connected to each other; the benefits that this technology offers are security and decentralization of control over all information. Another technology mentioned in this chapter is that of Internet of Things, also called as IoT. This facilitates to establish communication among devices, enabling them to share information and perform task without the need of any human intervention creating smart equipment. Further, we observe how IoT and blockchain when put together find multitude of applications throughout various industries. We see how these technologies have brought about betterment in industries such as agriculture, manufacturing, food processing, healthcare, military, and IT. The scope of these technologies lies beyond industries also. We discussed some everyday applications such as smart homes, improved surveillance cameras, and smart street lighting systems. So, to conclude with, we may say that with the evolution of these technologies and their incorporation throughout various aspects of life, it has brought convenience and specialization into everyday affairs. Tasks and tools that were not even imaginable few years ago have now been made possible with the help of advanced technologies such as IoT and blockchain. A lot of applications have been explored and implemented, and yet, there remains huge scope for further research and development to ease and facilitate our being.
References
1. Kenessey, Z., The primary, secondary, tertiary and quaternary sectors of the economy, in: Review of Income and Wealth, vol. 33, no. 4, pp. 359–385, 1987.
2. Upadhya, C. and Aninhalli, R.V. (Eds.), In an outpost of the global economy: Work and workers in India’s information technology industry, Routledge: Taylor and Francis Group, 2012.
3. Crosby, M., Pradan, P., Sanjeev, V., Vignesh, K., Blockchain technology: Beyond bitcoin. Appl. Innovation, 2, 6–10, 71, 2016.
4. Kamble, S., Gunasekaran, A., Arha, H., Understanding the Blockchain technology adoption in supply chains-Indian context. Int. J. P., 57, 7, 2009–2033, 2019.
5. Guegan, D., Public blockchain versus private blockhain, halshs-01524440, version 1, 2017.
6. Buterin, V., A next-generation smart contract and decentralized application platform, in: White Paper, vol. 3, no. 37, 2014.
7. Kwon, D. et al., IoT-based prognostics and systems health management for industrial applications. IEEE Access, 4, 3659–36705, 2016.
8. Celik, Z.B. et al., Program analysis of commodity IoT СКАЧАТЬ