AI Powering BearingVision: Transforming On-Site Machinery Inspections

AI-Powered Solution for Machinery Diagnostics

The introduction of the BearingVision App marks a significant advancement in the field of machinery diagnostics. Born from the experiences of Dr. Shubrajit Bhaumik, an expert in tribology, this AI-driven application addresses the challenges faced by engineers in inspecting heavy machinery components under harsh conditions.

Seamless On-Site Inspections

Traditionally, inspecting components like bearings and gears required considerable physical effort and time. However, with BearingVision, users can now simply click a photo and upload it for immediate diagnostics. The app swiftly identifies failures and assesses damage levels, transforming the inspection process.

A Collaborative Innovation

Developed at the TRISUL under Amrita Vishwa Vidyapeetham, the app showcases the collaboration between engineering disciplines. This project, involving mechanical and computing students, allowed participants to apply classroom knowledge to real-world challenges.

• Market Readiness: The app is customizable to suit various mechanical components.
• Intellectual Property: The team has filed a patent for their groundbreaking technology.
• Industry Collaboration: Plans to connect with industries for further customization and market integration.

In conclusion, BearingVision is an example of how technology can streamline complex processes and enhance efficiency in the heavy engineering sector. The team is eager to bring this innovation to market and redefine on-site inspections.