Akridata

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Smarter Railway Inspections with AI-Powered Visual Analysis

Detect railway faults and prevent derailments with Akridata’s AI-driven inspection solutions

Train derailments can cost railway companies billions. Akridata’s AI railway system helps detect issues early using computer vision, minimizing risks and ensuring safe, efficient rail operations.
Railway banner

Prevent Derailments with AI-Based Railway Safety Solutions

Every year, over 1,000 train derailments lead to significant financial and human losses. Manual inspection often misses early-stage defects, while a lack of high-quality data typically hinders the use of accurate & automated systems.

SOLUTION

Enhancing Wheel Defect Detection with Artificial Intelligence

Problem icon
Problem

Railway operators capture millions of wheel inspection images, but with few samples of defects, their detection remains unreliable—posing serious safety risks.

goal
Goal

Leverage AI-driven analysis and synthetic data to improve detection accuracy, ensuring safer and more efficient rail operations.

Solution
Solution

Leverage Akridata to generate quality synthetic images, enriching your dataset and enhancing your model's accuracy. Detect cracks, flat spots, and structural defects with greater precision—before failures occur.

See how Akridata can help.

HOW IT WORKS

AI-Powered Railway Inspection System: End-to-End Solution

Data collection and processing

Edge Collection

Data Collection and Processing

Vision Copilot uses deep learning models to process the captured images. Our customizable system accurately detects cracks, deformations and other defects.

Advanced Wheel and Track Inspection

Advanced Wheel Inspection image

Advanced Wheel and Track Inspection

Akridata’s system combines computer vision and machine learning to analyze wheels and track surfaces in detail—improving detection reliability across stations and tracks.

Synthesizing Crack Variations

Synthesizing Crack

Synthesizing Crack Variations

This enhances model training with synthetic images to improve performance, a crucial requirement in deploying AI in railway industry solutions effectively.

Continuous Deployment and Monitoring

Continuous Deployment

Continuous Deployment and Monitoring

The system continuously learns from new defects and data, constantly improving inspection quality with increased accuracy.

Want to Build a Reliable Railway AI System?

Akridata Visual Data Platform

No in-house AI team? No problem. Akridata Edge is a plug-and-play solution for companies adopting AI in railways, providing highly accurate, ready-to-use models for inspection and railway AI system deployment.

Why Leading Railway Companies Choose Akridata

  • Detect structural defects early with AI models
  • Reduce derailment risks and unplanned downtime
  • Integrate with existing railway infrastructure
Customer spotlight

How a Major Railway Company Achieved 98.5% Accuracy with AI in Railway

Akridata’s Vision Copilot was used to refine and enhance a large freight railway company’s inspection models. As a result, the company’s wheel inspection system reached 98.5% accuracy. Additionally, since using Akridata, they have not experienced any instances of real-world wheel cracks that went undetected by the inspection system.

Largest freight railroad

FAQs

Akridata uses AI-powered computer vision to detect rail defects, including wheel cracks and anomalies. By analyzing visual data in real-time, it helps identify potential issues before they lead to derailments, improving overall rail safety and reducing costly accidents.
The automated detection system can identify various wheel defects, such as cracks, damage, and anomalies. It uses edge collection, inference, and deep learning to enhance the accuracy and reliability of rail inspections.
Akridata’s railway inspection system has achieved up to 98.5% model accuracy for defect detection, as demonstrated in its work with leading freight railroad companies. This high level of accuracy ensures efficient and reliable rail operations.
Yes, Akridata’s Data Explorer can seamlessly integrate with existing rail inspection processes. It collects data from in-line imaging devices and customizes its deep learning models to suit specific operational needs, enhancing defect detection efficiency.
Railway companies benefit from improved safety, reduced derailment risks, efficient wheel defect detection, and continuous system monitoring. This leads to decreased operational costs, enhanced rail system reliability, and optimized freight and passenger services.

Ready to Modernize Railway Inspections with AI?

Akridata’s AI solutions help railway companies improve safety, reduce costs, and streamline inspections. Whether you have an in-house AI team or not, our pre-trained models and scalable platform ensure quick deployment and reliable performance.