Railway Track Crack Detection System Project Pdf

Detection of Cracks and Railway Collision Avoidance System 323 Avoidance of Collision Avoidance of collision can be carried by the the track side system. 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 node stores its corresponding. Solution to the problem of railway track crack detection. A MICROCONTROLLER BASED STOUT ROBOT WITH AUTOMATIC CRACK DETECTION IN RAILWAY TRACKS USING LED-LDR ASSEMBLY. In the Current System the principle involved in crack.

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Here we propose an innovative approach to detect railway track crack as this system detects crack based on image processing. Wan miniport windows 8 lenovo. 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.