The sol ution i s bas ed on powerful combination of mobile computing, Global System for Mobile Com munication (GSM), Global Pos itioning System (GPS) technologies and software. The inbuilt GPS module identifies the train location with a highest accuracy and transfer the inform ation to the central system. The availability of the information allows the train Controller to take accurate decisions as for the train location. Positioning data along with train speed helps the central system to identify the possible safety issues and react to them effectively using the communicati on methods provided by the system. The ever increasing operation velocities cause an increasing degree of the grave consequences both in loss of human life and severe damage to the train and other railway equipment. In the technical literature very few number of publications can be found that are dealing with investigations into the train collision processes to predict the level of forces and deformations realizing in the course of accidental collisions/crashes.

The shortage of the literature sources can be explained by the extremely complicated character of the dynamics of train crashes. The paper takes an attempt to develop an iterative computation method for predicting the dynamics of train collisions/cr ashes. The solution is a comprehensive GPS/GSM based train tracking system, which provides accurate, dependable and timely information to the controller. The inbuilt GPS module identifies the train location with a highest accuracy and transfers the information to the central system via GSM. The availabi lity of th is information allows the Train Contr oller to take accurate decisions as for the train location. Loca tion data can be further processe d to providevisua l positioning using maps granting a wholesome view on train location.

Detection of Cracks and Railway Collision Avoidance System S. Prof., S.R.M. Vag dash can 517 free download. The track side system is mounted to the post which is located every km and it consists of vibration sensor, memory, microcontroller and ZigBee. This project is divided in to four sections, as server side, train side, track side.

Positioning data along with train speed helps the administration to identify the possible safety issues and react to them effectively us ing the communication m ethods provided by the system. Additionally, this project propose s a system w hich monitors the track in front of a train for obstacle detection using multi sensor setup. Garritan jazz and big band 3 download.

Here we propose an innovative approach to detect railway track crack as this system detects crack based on image processing. Many image preprocessing steps is used to detect railway track crack. As image is prone to noise. System converts image to grayscale image and uses filtering to remove noise from image. Noise removal helps to detect crack more accurately. Image luminous level is increased and image is converted to binary image.

This helps system to detect only crack and helps to remove other unwanted objects. Image once converted to binary image, holes are filled by using image processing method this helps to reject all smaller objects which are not required for crack detection. Intensity value is used for accuracy purpose. Blob analysis method is used to detect large blobs. System detects crack based on number of connected components.

System detects crack based on number of blobs involved and mentions whether crack exist or not. Using bounding box functionality, system displays rectangular box around the blob. This system used during railway track inspection. The proposed system is able to detect deeper cracks with 80% success rate and minor cracks with 50-60% accuracy.