Example Use Cases

• Label Damage Detection – AI identifies torn, faded, or peeling labels that need replacement.
• Brake Wear Assessment – Computer vision detects break wear levels against parameter.Seat Wear & Tear Analysis – Computer vision detects rips, stains, and cushion deterioration, classifying damage severity.
• Fastener Alignment Inspection – The system checks if fasteners are properly secured and flags any misalignments.
• Defective Light Identification – AI pinpoints non-functional lighting within train compartments.
• Fire Extinguisher Label OCR – Automated text recognition ensures fire extinguisher labels are legible and within compliance dates.
• Window Visibility & Scratches Assessment – The system analyzes window conditions, identifying scratches or dirt affecting passenger visibility.
• Hand Support Damage Detection – AI assesses wear and tear on handrails to help prevent structural failures.
• Red Tag Condition Check – AI verifies the presence and positioning of safety tags on door handle boxes.