Solving Reflective Surface Inspection with Vision AI: A Real-World Technical Teardown

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Inspecting high-gloss, reflective surfaces remains one of the most challenging applications in machine vision. Variations in lighting, reflections, and product appearance can make traditional rule-based inspection difficult to deploy and maintain. 

In this webinar, BrinqAI will provide a technical teardown of a production Vision AI application designed to inspect reflective surfaces in a real manufacturing environment. Attendees will learn how imaging, data strategy, model development, and edge deployment work together to create a robust inspection solution capable of adapting to changing conditions. 

The session will walk through the complete project lifecycle, from proof-of-concept development to production deployment, highlighting key engineering decisions, integration challenges, performance considerations, and methods for managing model drift over time. 

Whether you're evaluating AI for inspection or looking to improve an existing system, this webinar will provide practical insights into reducing deployment risk, accelerating implementation, and demonstrating measurable ROI.

 What You'll Learn

• Where Vision AI can deliver measurable value in challenging inspection applications like surface reflection, deformable materials, or mixed SKUs
• How imaging design, lighting strategy, and data preparation impact Vision AI performance
• Key considerations for training, validating, and deploying inspection models at the edge
• Lessons learned when moving a Vision AI project from proof of concept to production
• How to manage changing production conditions and maintain model accuracy over time
• A practical framework for reducing deployment risk and building a business case for Vision AI