A System for Vehicle Detection using Machine Learning

Suryam Sharma, Swapnil Nivangune

Abstract: During the last decade, developing countries such as India have been exhibiting a rapid increase in human population and vehicles, and lack of integrated traffic surveillance system to handle such an outburst of traffic. This has raised concerns in the areas of efficient traffic management and safety. The huge amount of data collected poses the threat of human error when tried to be analyzed and categorized using human power. This highlights the need for an integrated system that can analyze and identify the attributes of a vehicle. In our project, we have developed a system that recognizes a vehicle using its three major attributes viz. license plate number, brand name, and color.

Keywords: Vehicle recognition, vehicle detection, traffic surveillance, image processing

How to Cite?: Suryam Sharma, Swapnil Nivangune, "A System for Vehicle Detection using Machine Learning", Volume 6 Issue 5, May 2017, International Journal of Science and Research (IJSR), Pages: 564-565, https://www.ijsr.net/getabstract.php?paperid=ART20173150, DOI: https://dx.doi.org/10.21275/ART20173150