Case Study · Quality Intelligence

From manual checks to machine vision: Cutting Waste on the Pharma Production Line

How a global pharmaceutical manufacturer used computer vision to catch defects in real time, cutting waste and downtime on its production lines.

  • IndustryPharmaceutical
  • Use caseReal-Time Quality Inspection
  • TechnologyComputer vision

The challenge

Our client’s challenge

A few production mix-ups a year were costing a Fortune 500 pharmaceutical manufacturer millions of dollars in wasted batches and recall risk.

Quality control depended on manual visual checks, repeated several times a day along each production line. The process was labor-intensive and error-prone, and it kept skilled employees away from higher-value work.

Key objectives

01

Catch defects in real time

Identify problems on the line before they become wasted batches or recalls.

02

Keep lines running

Reduce the errors and delays tied to manual inspection.

03

Redeploy skilled staff

Automate routine checks so people can focus on higher-value tasks.

The solution

The AI Collaborator solution

AI Collaborator took the client from proof of concept to a scalable inspection roadmap, drawing on specialists in Germany, Belgium, Italy, and the U.S.:

  1. 1

    Proof of concept

    End-to-end testing showed a faster, more affordable approach than alternatives proposed by top research institutions.

  2. 2

    Built on what’s there

    Machine vision was integrated with the client’s existing cameras and production systems, keeping disruption to a minimum.

  3. 3

    Tuned to the line

    Working with on-site teams, algorithms were customized for each production environment to maximize accuracy and reliability.

  4. 4

    Real-time detection

    Advanced image recognition flags defects as they happen, cutting inspection error rates.

  5. 5

    Roadmap to scale

    A clear plan for expanding across facilities with minimal overhead and a defined return on investment.

The results

Our client’s results

Real-time inspection gave the client earlier warning on production issues and fewer costly surprises:

Less waste

A sharp reduction in wasted batches and the costs that come with them.

Less downtime

Fewer disruptions and faster decisions when issues appear.

Better use of people

Labor-intensive inspection steps are automated, and staff are redeployed to higher-impact work.

Keep exploring

More AI in production

See how MARCO® can help you catch costly defects before they leave the line

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