Machine Learning Based Framework for Vehicle Make and Model Recognition
kollu Praveen kumar1, Alapati Hari Priya2
1Alapati haripriya, CSE, VR Siddhartha Engineering College, Vijayawada, India.
2Dr.Kollu Praveen kumar, CSE, VR Siddhartha Engineering College, Vijayawada, India.
Manuscript received on April 30, 2020. | Revised Manuscript received on May 06, 2020. | Manuscript published on May 30, 2020. | PP: 1639-1643 | Volume-9 Issue-1, May 2020. | Retrieval Number: A2586059120/2020©BEIESP | DOI: 10.35940/ijrte.A2586.059120
Open Access | Ethics and Policies | Cite | Mendeley
© 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: Nowadays, the speedy increase with in the rage of the automobiles on the main road and urban roads have created several challenges regarding the proper management and management of traffic. This is a very significant framework for intelligent traffic monitoring and management. Vehicle analysis is an important component for many smart applications, that includes automated toll collection, self-guided car driver assistance systems, smart car parking systems. In a recent years, due to increased security awareness in parking lots, restricted areas and building for access control systems, the need to identify and classify the vehicles has become important.
Keywords: Machine Learning, Make ,Model, Vehicle Recognition.
Scope of the Article: Machine Learning