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Consumer Packaged Goods

Production-Ready AI Vision Inspection for Consumer Packaged Goods

Cutting-edge AI scrutiny of seals, container integrity,
and labeling across diverse packaging types

INDUSTRY OVERVIEW

Types of packaging vary greatly between different industries and products. Everything from consumer goods to personal care products require packaging, and materials used can include paper, clear plastic, and metal. While defects may be purely cosmetic, damage in certain applications can render the product unusable or even dangerous.

Applications

Optimize packaging quality with AI that scrutinizes seals, detects deformations, and ensures proper labeling across various container types.

Shampoo Bottles

Simultaneously verify cap fitment, label placement, and damage on bottles.

Plastic Cups

Inspect for damage to both stacks cups of various materials and its packaging

Paper Plates

Inspect multi-packs of paper plates for damage to both the plates and packaging.

Lip Balm

Verify cap fitment and label placement on small cylindrical bottles.

Spray Bottle

Verify nozzle fitment, label placement, text, and scan barcodes of spray bottles for various products.

Round Lotion Bottles

Inspect round bottles for damage that are freely rotating on conveyors.

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.

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.

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.

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

Case Study: Yogurt Tub

Transforming Dairy Packaging
— One Yogurt Tub at a Time

Unlock
hidden value with AI

Discover your factory's untapped potential. Book a demo and receive a detailed report on how AI can optimize your specific production line.