AI-Based Pharmaceutical Packaging and OCR Inspection System

Automated Inspection of Pharmaceutical Packaging and Printed Information Using Artificial Intelligence, Machine Vision, and OCR

In pharmaceutical production and packaging lines, the accuracy of the information printed on products and packaging is highly important. Errors in information such as the product name, dosage, batch number, or printed dates can result in product nonconformity and create serious problems in quality control and traceability processes.

Fanavar Fartak Espadana’s intelligent packaging and printed information inspection system uses machine vision, artificial intelligence, image processing, and OCR to automatically read and evaluate information printed on pharmaceutical products.

The Problem

Manual inspection of printed information on high-speed production lines increases reliance on operators and the possibility that certain printing errors or incorrect information may not be detected.

Variations in print quality, text position, packaging surface conditions, and product types can also make the inspection process more complex.

Fanavar Fartak Espadana’s Solution

Using industrial cameras, the system captures images of the product or packaging and extracts the printed information through image processing algorithms and AI-based OCR.

The extracted information can be compared with predefined reference values for the product to identify discrepancies.

System Capabilities

  • Automatic reading of printed information
  • Inspection of print quality and readability
  • Verification of the product name and specifications
  • Reading manufacturing and expiration dates
  • Reading the batch number
  • Detection of incomplete or incorrect information
  • Comparison of extracted information with reference data
  • Identification of nonconforming products
  • Recording of inspection results and product information

System Benefits

Increased Confidence in Product Information Accuracy

Automatic verification of critical information printed on pharmaceutical products and packaging.

Reduced Human Error

Reduced reliance on operators for the manual reading and verification of information.

Improved Traceability

Product information and inspection results are recorded for use in quality control and traceability processes

Flexibility

Different products and print patterns can be defined according to production-line requirements.

Technologies Used

• Artificial Intelligence (AI)

• Optical Character Recognition (OCR)

• Machine Vision

• Image Processing

• Industrial Imaging and Illumination

Applications

  • Inspection of printed information on pharmaceutical products
  • Pharmaceutical packaging inspection
  • Verification of manufacturing and expiration dates
  • Batch number verification
  • Verification of product specifications and information
  • Pharmaceutical production and packaging lines

System Innovation

This system goes beyond conventional OCR.

After reading the physical product code, the system compares the recognized information with the product’s digital identity in the production system.

In addition to reading the code, the system verifies the connection between the physical product and the information stored in the database, creating a final automated layer for product identification control and traceability.

Target Customers and Market

  • Pharmaceutical companies
  • Pharmaceutical product manufacturers
  • Pharmaceutical packaging facilities
  • Production lines requiring automated inspection of printed information