Industrial and Construction

Production-Ready AI Vision Inspection for Industrial and Construction

AI vision technology identifying damaged goods
and hazardous materials to improve product quality

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INDUSTRY OVERVIEW

Materials used in construction often come in large sheets or long extrusions made of metal, plastic, concrete, or wood. Damage such as cracks or voids in these products can lead to safety issues in the buildings they end up being used in.

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Discover Applications

Applications

Improve the quality of industrial products using AI vision to identify damaged goods and prevent delivery of potentially hazardous materials used in construction.

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Composite Decking

Continuously inspect long boards with random wood grain patterns for cracks and other damage.

Aluminum Tubing

Detect dents, deformities, and surface defects on tubing of various materials.

Junction Box

Identify surface defects, gasket issues, and packaging defects of junction boxes.

Vinyl Siding

Continuously inspect vinyl siding to detect gross or minor defects such as tearing or cracking.

Dimensional Lumber

Verify lumber is free of cracks, splits, and large voids.

Steel Extrusion

Visually inspect structural steel for signs of weakness or damage

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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Multi camera Inspection

Use multiple cameras to capture the whole surface of large parts and automatically correlate inspection results to accurately count good and bad products.

AI for Difficult Defects

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

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