Automotive

Production-Ready AI Vision Inspection for Automotive

Advanced AI inspection for components and assemblies,
enhancing vehicle safety and reducing defects

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INDUSTRY OVERVIEW

High-volume automotive production lines require proven automation solutions that are quickly to deploy and troubleshoot, as downtime costs can average $50,000 per minute.

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Discover Applications

Applications

Improve manufacturing quality with AI that inspects intricate components, welds, and assemblies, reducing defects and enhancing vehicle safety.

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Engine Roller Rockers

Quickly set up presence-absence inspections on engine components.

Gas Cap

Find print and other surface defects on common automotive components such as gas caps.

Seat Fabric

Find wrinkles and scratches on seats to identify areas for rework.

Lug nut plating

Detect blisters and burns on plating of lug nuts.

Weld inspection

Verify weld presence-absence and quality on complex assemblies.

Tire Tread Inspection

Verify correct tire tread pattern across several product lines.

Key features
and benefits

Elementary's AI-driven inspection system empowers your production line and create tangible benefits for your business, from increased accuracy to significant cost savings.

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Simple deployment workflow

Inspection recipes and AI vision models are easy to configure and do not require specialized engineering capability to implement.

Traceability

Complex supply chains often result in companies pointing the finger at each other when quality issues arise - having the data on hand can quickly end the debate.

AI for Difficult Defects

Find the most difficult defects such as small scratches or marks that can vary in size, orientation, intensity, or location.

Multi camera Inspection

Use multiple cameras to capture all sides of parts and automatically correlate inspection results to accurately count good and bad parts.

Easy Setup & Scale

Quickly capture, label, train, and deploy models within the application.

Quick Corrective Action

Defect classification provides users the ability to go beyond Pass-Fail and take corrective actions specific to the issue they are observing.

Out-of-the-Box Analytics

Elementary provides users with the ability to look back at historical data to understand product yield and scrutinize defects in a specific time period.

Incident Alerts

Quality Events alert users with notification when urgent issues arise enabling manufacturers to more quickly escalate and address issues.

How it
Works

The Elementary QA Platform is a simple no-code solution that provides manufacturers with the tools to build and manage their own AI models, while making no compromises to the models’ robustness and accuracy.

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Capture

High-resolution cameras capture images of each product

TraiN

Users train bespoke AI models using labeled images of the product

Detect

Deployed inspection recipes identify quality issues in real-time during production

Act

System alerts help teams escalate and fix quality issues immediately