Details

Autor(en) / Beteiligte

• A. Geethanjali
• T. Vijitha
• S. Naveen Kumar
• D. Gajendran
• U. Thulasi Ram
• N. Moulika

Titel

IoT Based Visual Defect Detection in Railway Tracks

Ist Teil von

• International Journal of Advanced Research in Science, Communication and Technology, 2022-12, p.552-561

Erscheinungsjahr

2022

Beschreibungen/Notizen

• This paper proposes the design of crack finding robot in the railway tracks. In India rail transportation engage a major pose in asset with the essential transportation to maintain necessities of a briskly emergent financial system. At present, India possesses the 4th major railway network in the globe.It has proven inappropriate for the control system currently use in Indian railways. Therefore, there is a need to have new technology which will be vigorous, well organised and stable for both crack detection in railway track as well as object or things detection. A robust monitoring system has been suggested and clarified in this paper to address the shortcomings of the existing rail surveillance system to detect cracks of the railway tracks. To detect cracks & damages in railway tracks. To design & develop IoT enabled Robo. To inform Railway Controller about cracks & damaged track information when detected by the robot. To send all the information through wireless communication based devices. Designing the project to overcome this problem.