Gautam.dev

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Computer Vision

Object Detection for Indian Railways

A 2km-range object detection system that enhances railway safety in adverse weather by alerting locomotive pilots in real-time.

Project Overview

I developed an advanced object detection system with a range of 2 kilometers to enhance safety and operational efficiency for Indian Railways. The system uses sophisticated algorithms and sensors to identify and track potential hazards along railway tracks such as vehicles and obstacles in real-time. By providing instant alerts to locomotive pilots, especially in fog and low-visibility conditions, the system significantly reduces accident risk and improves decision-making on the tracks.

Technologies Used

  • Python
  • C++
  • TensorFlow
  • Keras
  • OpenCV
  • YOLO