Many quality inspection processes for large components and structures still rely on human visual checks.

However, in actual worksites, several challenges remain:
• Comparing drawings with the actual product is time-consuming.
• The large number of components increases the risk of oversight.
• Inspection accuracy varies depending on the operator’s experience.
• Insufficient inspection records result in weak traceability.

Particularly in medium- to large-sized workpieces—such as construction machinery, automobiles, and plant equipment—defects caused by manual assembly (including incorrectly oriented brackets, untightened bolts, or misaligned holes) are often discovered in downstream processes, resulting in significant rework costs.

The AR quality inspection tool “Twyn,” developed by Germany’s Visometry GmbH, eliminates this reliance on individual skill in visual inspections.

Thai Escorp became the sole authorized distributor of this product in Thailand in January 2026. This article outlines the key features and implementation benefits of the AR inspection tool “Twyn.”

Instant Comparison of Design Data and Physical Products with AR

This inspection support tool leverages AR technology to overlay 3D CAD data onto medium- to large-sized parts, equipment, jigs, and structures, instantly visualizing discrepancies. By displaying the 3D CAD model in real time over the workpiece on an iPad Pro, users can simultaneously compare the design data with the physical product. Abnormalities such as missing holes, incorrect positioning, absent components, or reversed orientation can be intuitively identified by any operator. No specialized skills are required, enabling standardized inspections that are independent of individual experience.

▲ Example of matching CAD data with the actual workpiece

【Key Features】
• Ideal for inspecting areas with a large number of components that are prone to visual oversight (incoming and pre-shipment inspections)
• Contributes to reducing rework in the manufacturing process by conducting jig and fixture inspections
• Effective for verifying hole and bracket positions, as well as presence/absence checks
• Visualizes deviations from design data by color and position, enabling errors to be identified at a glance
• Automatically generates inspection reports, enabling digital recordkeeping and strengthening quality assurance and traceability
• Supports Japanese, English, Korean, and multiple European languages
• Equipped with a predefined inspection point guidance function to prevent oversights

▲ Example of bracket misalignment: The deviation between the CAD data and the actual product is clearly visible

▲ Inspection points can be predefined in advance

▲ Effective even when the number of inspection points makes manual visual inspection nearly impossible

▲ Example of an inspection report: Available for export in PDF, Excel, and CSV formats.

Twyn is not a measurement device like a 3D coordinate measuring machine (CMM); rather, it is an inspection support tool that visualizes deviations from design data. It is not intended for precision measurement applications but is ideally suited for verification processes involving large structures and multi-component assemblies.

Implementation Benefits | Reduced Inspection Time, Prevention of Human Error, and Strengthened Traceability

It eliminates bottlenecks in the inspection process, achieving both reduced inspection time and the prevention of defective products from reaching the market. Verification tasks that previously required manual comparison of drawings and physical products—often relying on visual checks or jigs—can be streamlined through AR-based matching, significantly improving productivity within the inspection process.

▲ Deviation detection support function: A hole present in CAD data but absent on the physical product

【Key Implementation Benefits】
• Enables rapid verification of spot weld locations and the presence or absence of weld beads
• Allows immediate recording and digital storage of detected defects
• Streamlines reporting processes through automatic generation of photo- and annotation-based reports
• Enhances root cause analysis and traceability through digitized inspection records

Worksites Where Twyn Delivers the Greatest Impact

Twyn is particularly effective in the following environments:

• Construction machinery and heavy industry
• Automotive, shipbuilding, and aerospace industries
• Large-scale machinery and plant equipment
• Jig and fixture manufacturing
• Quality inspection in assembly processes
• Incoming inspection and pre-shipment inspection

The greater the number of components involved—such as in large-scale equipment and complex structures— and the more time required for visual inspection, the more significant the benefits of Twyn become. In the Thai market, adoption of AR-based quality inspection solutions remains limited, creating an opportunity for early adopters to differentiate themselves through enhanced quality and process innovation.

▲ Automatic component inspection function

▲ Vehicle body inspection example: Verification of spot weld locations, nuts, and stud bolts

▲ Example of large workpiece inspection: Prevents rework caused by defects detected in downstream processes

Verify the Effectiveness Before Implementation – Demo Testing Available

You can evaluate the effectiveness in advance using your actual on-site data. (3D CAD data is required.) Through demo testing with your actual workpieces, you can verify expected time savings and operational workflow improvements within your own processes before moving forward with full-scale implementation. This allows you to make a confident and well-informed decision

Twyn is an AR solution that transforms conventional visual inspections—from processes that are time-consuming, prone to oversights, and dependent on individual skill—into inspections that are fast, accurate, and standardized.

If you are looking to reduce inspection time for large workpieces, stabilize quality, and strengthen traceability in Thailand, please feel free to contact us using the inquiry form below.