Customer Focus

Pharmaceutical manufacturers in India focus on patient safety, zero-defect packaging, and strict regulatory compliance. Quality assurance and production teams require automated inspection systems to eliminate manual errors, ensure accurate dosing, and meet FDA, WHO-GMP, and Schedule M requirements—while maintaining high-speed packaging operations and faster batch release cycles.

Requirements

The customer required vision inspection system to verify pill count, shape, color, and labeling accuracy across blister packs, bottles, and pouches. The solution needed to integrate seamlessly with existing packaging lines, PLCs, and serialization systems, provide real-time alerts, and generate validation-ready inspection reports.

Manual counting and visual inspection were error-prone and inconsistent at high line speeds. Traditional sensors failed to detect mixed pills, missing doses, or label mismatches. Inspection errors increased recall risk, delayed batch release, and exposed the organization to regulatory non-compliance and brand damage.

Pain Points

• Risk of incorrect dosage
• High recall and compliance exposure
• Slow and manpower-dependent inspection

Lubi Electronics implemented an AI-powered Computer Vision inspection system using deep learning–based counting, classification, and label verification models. High-resolution cameras inspect each package in real time, ensuring correct pill count, shape, and labeling. The system integrates with PLCs and MES for automated rejection and audit-ready traceability.

Solution Highlights

• AI-based pill counting & classification
• Real-time reject & alert mechanisms
• Validation-ready reports & logs