Vehicle Collision Detection Application Through Collision Video Files with Quadtree Algorithms. (July 2019)

• Record Type: Journal Article
• Authors: Tandean, Jimmy; Endry, ; Wijaya, Alvin; Gunawan, Winata; Harahap, Mawaddah
• Is Part Of: Journal of physics. Volume 1230(2019)
• Publication Date: 2019-07
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/1230/1/012016
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: The improvement of digital image processing technology is increasingly rapid. Image processing has been widely used to maximize the usefulness of the webcam interface or CCTV, which can be used to monitor traffic flow on the street. One of the frequent event occure on the street is a crash (collision). This problem often arises in a collision event is a dispute about the party guilty in the collision. A collision detection application using Quadtree algorithm can solve this problem. This study aims to analyze and design intelligent systems for vehicle collision detection on street through a webcam camera. Using the Quadtree algorithm, a collisions that occur on vehicles can be detected by the regions division method such ash Quadtree algorithm. Using this application the collision possibilities can be describe. Based on the results of the tests conducted, information was obtained that the accuracy of the application of the Quadtree algorithm in the detection of car collisions on the highway was 8: 2 where the value was obtained from the number of collisions detected.