Client

Largest German manufacturer of TV pipe inspection systems

Use Case:

Goal: Transform the traditional B2B equipment sales model into offering smart services and pay-per-use models for pipeline inspection systems.​

Solution: Develop a cloud-based system utilizing AI for automated damage event detection and visual object recognition, including a platform for services such as damage assessment, proposal creation, and archiving.

Business Case:

Expand the business model by incorporating additional services and pay-per-use options, providing added value to manufacturers, end-users, and third parties, thereby opening new revenue streams.

Tech Stack:

Google TensorFlow, Microsoft Cognitive Toolkit, Azure ML, Neuronal Networks, Training & Re-Training Pipelines