Driving License Corroborator using Internet of Things and Data Mining Techniques
P.Tamije Selvy1, A.Ajay Balaji2, K.Angu Selvam3, R.Arun4
1Dr.P.Tamije Selvy*, Department of CSE, Sri Krishna College of Technology, Coimbatore, India.
2A.Ajay Balaji, Department of CSE, Sri Krishna College of Technology, Coimbatore, India.
3K.Angu Selvam, Department of CSE, Sri Krishna College of Technology, Coimbatore, India.
4R.Arun, Department of CSE, Sri Krishna College of Technology, Coimbatore, India.
Manuscript received on February 10, 2020. | Revised Manuscript received on February 20, 2020. | Manuscript published on March 10, 2020. | PP: 1302-1305 | Volume-9 Issue-5, March 2020. | Retrieval Number: E2808039520/2020©BEIESP | DOI: 10.35940/ijitee.E2808.039520
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Internet of Things (IoT) permits gadgets to be perceived and controlled remotely across existing community infrastructure, creating possibilities for introducing direct integration between the physical, global structures ensuring in progressed efficiency, accuracy. In step with recent statistics from the Ministry of Road Transport and Highways, 10,622 persons (past one year) below the age of eighteen lost their lives due to road crashes in Highways (India), accounting for 29 deaths every day. To disannul the shortcomings, License corroborator, the planned model assures the age of chauffeur (Driver) is above eighteen with positive authorization steps.
Keywords: Internet of Things, Vehicle security, Driving License Corroborator, Authorization.
Scope of the Article: Authentication, Authorization, Accounting.