Computer Vision QC System for PharmaVision

PharmaVision's manual pill inspection process was sampling only 5% of production. FDA regulations required 100% inspection capability. Manual sampling was catching defects late, causing expensive batch recalls averaging $1.2M per incident.

For many Healthcare organizations across the United States, this type of operational bottleneck is all too familiar. Manual processes, legacy systems, and disconnected workflows create compounding inefficiencies that cost both time and revenue — often without leadership having a clear line of sight into the true cost.

PharmaVision Labs needed a partner who understood the technical complexity and the business urgency. Delivery speed mattered, but so did long-term maintainability, security, and the ability to scale as the business grew.

We deployed a computer vision system with 8 high-speed cameras inspecting pills at line speeds up to 1,200 units/minute. CNN models detect surface defects, color anomalies, size variance, and foreign material with 99.97% accuracy.

Our engineering team architected the solution with production scalability in mind from day one — not as an afterthought. Every component was evaluated against real-world load expectations, and the system was designed to handle growth without requiring expensive re-architecture six months after launch.

We maintained weekly video demos with PharmaVision Labs's leadership throughout the build. This meant no surprises at launch and full stakeholder alignment at every milestone. Every sprint delivered working, tested software — not just progress reports.

We collected 200K+ labeled defect images across 15 defect categories. Transfer learning on EfficientNet-B5 achieved 99.97% accuracy. The system generates GxP-compliant electronic batch records automatically, replacing manual paper processes.

The Healthcare sector in the United States is undergoing rapid digital transformation. Organizations that invest in custom software and AI-powered automation today are building structural advantages that will be extremely difficult for competitors to close — lower cost structures, faster response times, and better customer experiences compounding year over year.

This project for PharmaVision Labs is a strong example of what's achievable when business requirements are clearly defined, technology choices are made deliberately, and delivery is structured around measurable outcomes rather than billable hours.

For US companies in the Healthcare space evaluating similar investments: the ROI case is typically clearer than expected, and the risk is manageable with the right partner and the right contract structure. Fixed-price engagements with milestone-based payments and clear acceptance criteria protect both sides and keep projects on track.