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PTC Boosts Vuforia’s Visual Inspection Capability With AI

Augmented reality solution can now support visual inspection on the shop floor.

PTC Boosts Vuforia’s Visual Inspection Capability With AI
The new Vuforia Step Check feature simplifies visual inspection on the shop floor using AI. Image courtesy of PTC.

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May 15, 2023

PTC’s Step Check solution (part of the PTC Vuforia Expert Capture SaaS Augmented Reality solution) will provide manufacturing employees with a step-by-step guide through inspection tasks with context-sensitive work instructions, thanks to artificial intelligence (AI) capabilities. 

The inspection tasks are superimposed on the physical product that is being inspected and will detect improper assembly, missing or misaligned parts, and other errors. With to colour-coded graphics displayed in real time on the part or product in question, operatives can see at a glance whether it has passed the inspection step. 

In addition, Step Check automatically documents inspection results and creates dashboards to analyse the inspections performed.

“Step Check uses advanced computer vision to recognise parts or products to be inspected using their 3D CAD models, then it utilises an AI model based on examples of passed and failed inspections,” said JJ Lechleiter, General Manager of Vuforia at PTC. “The AI models learn from the decisions made by the employees and, as a result, continuously improve the results. Vuforia's computer vision capabilities also recognise things not included in 3D CAD models, such as stickers or labels.” 

The new Step Check feature focuses on one of the most important phases of the manufacturing process: visual inspection in quality control. In this process, employees assess whether a part, component, or product has been manufactured or assembled correctly and is in working condition.  Traditionally, these inspections are performed by the naked eye and paper-based documentation, putting pressure on employees to make decisions quickly and increasing the risk of errors and rework.

 
 

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