Problem solved

Freight and passenger rolling-stock inspection is still often manual, slow and hard to turn into structured defect data.

Key capabilities

• Computer vision and AI inference for rolling-stock defect detection
• Edge deployment and cloud application architecture as a development direction
• Freight and passenger application focus
• Status will be identified as R&D, prototype, pilot or production as development progresses

Target users

• Railway operators
• Workshops and depots
• Rolling-stock inspection teams

Next step

This is current AHANSH R&D, not a completed commercial deployment. We will not describe it as production until that status is true.