Open AccessDesign and Development of Drivers Driving Pattern Analysis for Automatic License Issuing System
Author(s) -
M. B. Nathan,
V. Jai Kishor,
d raghunatha reddy,
Karan Kumar
Publication year - 2020
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.f9196.038620
Subject(s) - license , computer science , computer security , bayesian probability , test (biology) , control (management) , artificial intelligence , paleontology , biology , operating system
To forestall licenses and in this manner causing mishaps, another mechanized framework is proposed. This framework can be executed utilizing Bayesian rationale grouping calculation and highlight extraction calculation. The proposed framework needs to structure the remote sensor engineer and in addition the multi sensor mix based distinctive confirmation technique for seeing outcome. The guide administrations additionally expected to look at the test information from Vehicle information recorder (VDR) with reference information. Mapping and multi-combination sensor blend transmission is finished utilizing remote server. The Bayesian characterization calculation is actualized with information digging for result. CC2500 remote module is utilizing as a passage. As a commitment to the general public this creative answer can defeat debasement and abatement the quantity of street wounds in light of most wounds as a result of absence of arranging, expectation and control which can be decently relying upon an individual's driving gifts. In this way, from our proposed conspire we will place in power a programmed riding check for permit trouble.