Informatics Publishing Limited

B. Sathyabama ¹, S. Vydehi ²

Affiliations
1 Dr. SNS Rajalakshmi College of Arts and Science, Chinnavedampatti, Coimbatore – 641 049, IN
2 Department of Computer Science, Dr. SNS Rajalakshmi College of Arts and Science, Chinnavedampatti, Coimbatore – 641 049, IN

Abstract

Video streaming is made possible through the invention of wireless technologies. This paper deals with a mobile network for video streaming is established on the roads by making each vehicle on the road as end terminal. This is accomplished by adding some communication equipment to each vehicle. The underlying mobile technology used is Bluetooth. Since Bluetooth is limited for high data rate applications, the best compression algorithms MPEG4 are used, as it provides very low bit-rates. To transmit video frames (I frames in MPEG4) without any error, Bluetooth protocol stack is optimized in its link layer. Bluetooth can make adhoc networks whenever two Bluetooth enabled devices are within the 100m range. For road safety application, Video camera and Bluetooth enabled handheld computer, are mounted in the front part of the automobiles. Each vehicle has video signal, which depicts what are the things in front of it. This video is compressed using MPEG4.This video is streamed between vehicles wirelessly. This video gives the information what is happening in front up to 100m even that view is obstructed by the vehicle in front so that accidents can be reduced. Secondly, Global Positioning Systems can be used to drive the vehicle in the mist conditions is also envisioned.

Keywords

Bluetooth, MPEG4, Piconets, Road Safety, Global Positioning System (GPS).

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S. Vydehi ¹, V. B. Maduria ¹

Affiliations
1 Department of Computer Science, Dr. SNS Rajalakshmi College of Arts and Science, IN

Abstract

Data mining is a field at the intersection of computer science is the process that attempts to discover the patterns in large data sets. One of the key steps in Knowledge Discovery in Databases is to create a suitable target data set for the data mining tasks. It utilizes methods at the intersection of artificial intelligence, machine learning, statistics, networks and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use. The K-Nearest Neighbour algorithm is amongst the simplest of all machine learning algorithms is proposed in this paper. In this proposed approach, the data mining technique is used for edge detection, extraction of plate region, segmentation of plate characters and recognition of characters. Edge is a basic feature of image. The image edges include rich information that is very significant for obtaining the image characteristic by object recognition. In this paper the Modified Sobel edge detection technique is used to detect the edges of the image. With the help of presented technique in this thesis, can detect the number of any plate just by giving as input the image of the plate and number gets extracted and recognized. Here present simplest of all and with lesser complexity to detect the numbers. The image is stored in the form of a matrix and the output is displayed in the form of detected numbers. Experimental Results are carried out in MATLAB and it has been proven that the data mining technique is more efficient and accurate one compared with other techniques.

Keywords

Data Mining, K-Nearest Neighbour (KNN), Edge Detection, Image Processing.

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