Model Architecture
Our hybrid framework integrates vision transformers and temporal graph networks.
Explainability Integration
We embed SHAP and attention-based visualization to highlight critical risk features for engineers, enhancing understanding and decision-making in railway inspection processes.
Robustness Training
Our approach includes adversarial training, outlier exposure, and contrastive learning to ensure model resilience and reliability under uncertain conditions in railway inspections.
Innovative Railway Inspection Solutions
At Zerofault Rail, we revolutionize railway inspection through advanced data fusion and hybrid model architectures, ensuring safety and efficiency in railway operations.
150+
15
Trusted by Experts
Proven Technology
Hybrid Model Framework
Integrating transformers and graph networks for effective railway inspection data processing.
Explainable AI Methods
Utilizing SHAP and attention for critical feature visualization in our models.
Robustness Training Techniques
Employing advanced methods to enhance model resilience under varying operational conditions.
Seamless deployment with feedback loops for continuous system improvement.