Imagine trying to find a specific tiny screw in a giant warehouse without knowing its part number. Instead of scrolling through thousands of pages in a catalog, you just snap a photo of the part with your phone. The system recognizes the object instantly, even if it has never seen a real photo of it before, by using computer-generated images created from 3D blueprints.
Industrial manufacturers struggle to create image databases for all spare parts because manual photography is too expensive and time-consuming. This makes it difficult for customers to identify and order the correct replacement parts quickly.
A visual search engine and customer portal that uses synthetic images generated from CAD data to identify spare parts. It includes a PoC demo specifically for ISO Normed spare parts.
If you are a vehicle assembly plant dealing with downtime due to unidentified worn-out components — this project developed a visual search engine that allows parts to be found in catalogues by simply sharing an image. This eliminates the need for manual part number searches during critical repairs.
If you are an equipment manufacturer dealing with the high cost of photographing thousands of spare parts for a digital catalog — this project developed a way to produce synthetic images from CAD data. This allows you to onboard customers in a matter of minutes without manual photography.
If you are a field service provider dealing with incorrect part orders from remote sites — this project developed a PoC Visual Search Demo for ISO Normed spare parts. This ensures the technician identifies the exact part needed before ordering, reducing shipping errors.
Based on available project data, specific pricing is not disclosed, but the project has successfully transitioned some pilot trials into paid licenses.
Yes, the system uses synthetic images from CAD data to overcome the limitation of missing real photos, allowing for rapid scaling and onboarding of customers in minutes.
The project has filed a patent and secured the trademark 'visual synonyms' to protect its intellectual property.
The company has attained ISO 27001:2022 certification, demonstrating a commitment to information security management.
The project claims that customers can be onboarded in a matter of minutes.
The project is led by a single German SME, Nyris GmbH, representing a 100% industry ratio. This lean structure suggests a highly focused commercial drive, as evidenced by the transition from pilot trials to paid licenses and the direct focus on enterprise customer portals.
Contact NYRIS GMBH in Germany
Request a demo of the CAD-to-synthetic image visual search engine.
