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Inspecting 1B+ parts annually for Fortune 500 manufacturers

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See How Fairlife Perfected Packaging

Download the full case study to learn how Fairlife used AI vision to detect packaging defects and deliver quality at scale.

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See How Yamaha Ensures Safety with AI Vision

Download the full case study to learn how Yamaha improved inspection accuracy and boosted consumer safety.

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Machine Vision for Life Sciences

The AI Vision System for Ensuring Quality and Traceability in Life Sciences

Automated inspection that ensures compliance, protects product integrity, and maintains full traceability from assembly to packaging.

INDUSTRY OVERVIEW

In life sciences manufacturing, precision and compliance are critical at every step. From medical device assembly to pharmaceutical packaging, even small errors—like a missing lot code, a cracked vial, or a misaligned stopper—can lead to recalls, regulatory violations, or patient risk. Automated vision inspection helps manufacturers achieve zero-defect quality, complete traceability, and audit-ready documentation across their production lines.

Key
Applications

Drive zero-defect quality and compliance by using AI machine vision to perform microscopic defect detection, component verification, and comprehensive track-and-trace monitoring across all critical manufacturing stages, ensuring patient safety and regulatory adherence.

Vial, Syringe & Ampoule Inspection

Detect particles, bubbles, fill-level variation, cracks, chips, or mis-seals to ensure product integrity.

Medical Device Assembly Verification

Verify presence, alignment, and orientation of small components in assemblies like injectors, wearables, and catheters.

Seal & Packaging Integrity

Confirm seals, bands, and blister packs are intact, clean, and free of foreign material.

Label Verification & OCR

Ensure legibility and correctness of lot codes, expiration dates, and serial numbers for FDA and EU MDR compliance.

Tray & Component Presence

Verify that all inserts, leaflets, and components are present before packaging or shipment.

Cosmetic & Container Defect Detection

Identify scratches, discoloration, or closure defects that impact visual and functional quality.

Fill-Level & Liquid Inspection

Detect underfill, overfill, or incorrect liquid color in transparent containers.

Key Features
and Benefits

Elementary's AI-driven vision system provides a strategic advantage by transforming complex inspection data into clear, actionable insights, enabling robust regulatory compliance, maximizing product yield, and ensuring brand protection through verifiable quality.

Regulatory Compliance

Maintain audit-ready traceability with captured lot codes, images, timestamps, and defect classifications.

Product Integrity

Detect cracks, particles, seal failures, and other quality risks before they reach the market.

Complete Traceability

Log every inspection event with product ID, equipment, operator, and line data for full genealogy.

Defect Standardization

Create a consistent defect taxonomy across lines and sites for enterprise-wide quality insight.

Continuous Improvement

Analyze defect trends by lot, shift, or line to drive root-cause investigations and process optimization.

Scalable Across Sites

Deploy across multiple lines or facilities with centralized analytics and defect reporting.

Success
Stories

Case Study: Yamaha

Yamaha's Quality Control Shifts Into High Gear