Blockchain Based Secure Traffic Police Assistant System

Автор: Dipti Pawade, Avani Sakhapara, Raj Shah, Siby Thampi, Vignesh Vaid

Журнал: International Journal of Education and Management Engineering @ijeme

Статья в выпуске: 6 vol.10, 2020 года.

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There are large numbers of vehicles in the populated country like India. It’s a very common scenario that traffic police came across some vehicle random vehicle and had some doubt in mind but do not have in hand information about that vehicle and end up leaving that thought. Sometimes this may result in some disaster. With the advent of technology, there are mobile applications and web based systems are available to ease up the process by which traffic police can fine the vehicle owner or people can pay the fine online. But yet there is no system is available through which traffic police can get all the details about the particular vehicle. This motivated us to design and developed an application thorough which traffic police can get all the information right from owner of the vehicle to its RC book and insurance status on just one click. Looking at the chances of data tampering, we have also played an attention to the data security and used blockchain for creating distributed, robust and tempered proof system. In this paper we have discussed traffic police assistance system, which can scan the vehicle number plate, identify the number and provide the all the information and documents stored against that vehicle number. To address the issue of data security and alteration of sensitive data blockchain is used so that any alteration can be monitored. As the complete information process is dependent on how correctly the vehicle number is identified, so the number plate recognition module is tested thoroughly under various conditions. Finally user feedback is taken and analyzed to evaluate the feasibility and usability of the proposed application.

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Image to text conversion, Number plate recognition, RTO data, Blockch ain, IPFS network

Короткий адрес: https://sciup.org/15017279

IDR: 15017279   |   DOI: 10.5815/ijeme.2020.06.05

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