Official URL: Abstract This report present the development of Design a Cost Effective Railway Crack Detection System Using Ultrasonic Sensors and Arduino UNO. Railway crack continues to occur in modern architecture due to contact stresses between the wheel of the train and the surface of the railway. Thus, it will bought huge losses to the people’s lives and property.

In order to reduce railway crack in railway track, a railway crack detector device installed into an essential. The approach of railway crack detection system is by using two ultrasonic sensors to detect crack for that occurs in railway track such as in KTM komunter train area. The ultrasonic sensors then integrated with Arduino itself and display message to the maintenance team so that the maintenance could done faster. Besides, the maintenance team can interact with the crack detector system and the system will continue to scan for any defect at the railway tracks by Graphical User Interface (GUI) program whether is in safety run mode or normal run mode. Arduino UNO is adopted as main control chip, data logging are achieved by using Serial Monitor and LCD functions as display message. The result of test shows this design has characters of cost effective, and will be widely used.

This project presents a cost effective. The main aim of project is to design and develop an automatic rail crack detection system based on infrared technology. Automotive Crack Detection for Railway Track Using Ultrasonic Sensorz. P.Navaraja,'Crack Detection System For Railway Track By Using Ultrasonic And Pir Sensor' IJAICT, vol.1, Issue 1-2014. Kak smotatj schetchik gaza.

Communication with the users is fulfilled through the GUI in this crack detection system. Its consists of safety run mode and normal run mode, which the device will run at its speed according to the mode. Item Type: Monograph (Project Report) Uncontrolled Keywords: Ultrasonics, Programmable controllers, Ultrasonics imaging -- Data processing, Ultrasonics, equipment -- Design and construction Subjects: Divisions: Depositing User: Date Deposited: 20 Sep 2017 09:04 Last Modified: 20 Sep 2017 09:04 URI: Actions (login required) View Item.

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.

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