Spyglass Assembly Verification (SAV) : Deep Learning Assembly Verification for HMLV Manufacturers

If assembly errors on your high-value products are impacting your costs and your throughput, read on for how Spyglass Assembly Verification can help.

Do you have a high-value, high-mix product and assembly lines?

Spyglass Assembly Verification reads and understands engineering drawings, Bills of Materials, and specs in your ERP / PDM / PLM, and then correlates those documents and drawings into output that helps to ensure the article assembly happens completely and accurately.

At inspection stations, SAV then uses machine vision and its learned understanding to verify that it sees what it expects, and alerts workers when it doesn’t. It lowers Total Cost of Quality by helping to prevent costly re-positioning or re-working of high-value items.

Whether it’s airplanes, trucks, tractors, wheel loaders, or anything in between, Spyglass Assembly Verification helps to keep your HMLV articles on track and your Total Cost of Quality low.

High-Value Custom Assemblies Done Right —The First Time

From start to finish, Spyglass Assembly Verification (SAV) keeps its eyes on your high-value, High-Mix Low-Volume (HMLV) assembly articles so you don’t have to.

Accurate

Assemble your HMLV articles right the first time, every time -- ideal for automotive, aerospace, and other high-value assemblies

Integrated

Our API can connect with whatever ERP / PDM / PLM system you have in place -- and makes that connection quick and easy

Safe

Have as many stations as you want, and verify your assemblies are correct before every additional value add in your process

Using Deep Learning AI…

Spyglass Assembly Verification is able to read and understand Bills of Materials, parts specs, and CAD and other installation drawings in your ERP / PDM / PLM, and then correlates those documents and drawings into output that helps to ensure the article assembly happens completely and accurately.

Spyglass Assembly Verification then keeps its eyes on the article as it moves through the production process, ensuring at each station that it sees what it expects and alerting workers when it doesn’t. It lowers Total Cost of Quality by helping to prevent costly re-positioning or re-working of high-value items, and produces even greater ROI when used to stop improperly assembled articles from reaching value-add processes like paint application.