• Roshan Banbariya
• Shruti Dixit

The preparation of Overhead Equipment (OHE) data in Indian railway is a challenging task. The deep learning based OHE data preparation system can replace the manual method of preparing data. An algorithm was designed to recognize the letters from an image and get the location data. For video recording a charge-coupled device (CCD) based camera and for location data a Global Positioning System (GPS) were used. The model was trained to identify the number plate and recognize the characters in it using optical character reorganization (OCR), obtained result will be saved in excel file.

CNN, Tensor flow, OCR, Pole detection, Number Identification, Number Recognition

"Deep Learning Based OHE Data Preparation System for Railways", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.c528-c532, November-2021, Available :http://www.jetir.org/papers/JETIR2111271.pdf

"Deep Learning Based OHE Data Preparation System for Railways", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppc528-c532, November-2021, Available at : http://www.jetir.org/papers/JETIR2111271.pdf