Vision System (Label/Code Verification) – PQ Protocol

Performance Qualification Protocol for Vision System in Packaging and Inspection

Document Control:

Document Number: PQ-VS-001

Version: 1.0

Effective Date: [Insert Date]

Reviewed By: [Insert Name]

Approval Date: [Insert Date]

Objective

The objective of this Performance Qualification (PQ) protocol is to verify that the Vision System used for label and code verification in the packaging process meets predefined acceptance criteria and operates as intended.

Scope

This protocol applies to the Vision System utilized in the Packaging/Inspection area for Solid Dosage Forms (OSD) and encompasses all relevant operational aspects, including detection accuracy, reject logic, and audit trail functionality.

Responsibilities

The Validation Team is responsible for executing this protocol, documenting results, and ensuring compliance with the acceptance criteria. The Quality Assurance (QA) department will review and approve the final report.

Prerequisites

All personnel involved in this PQ must be trained on the operation of the Vision System and understand the validation process. Calibration of the Vision System must be completed prior to execution of this protocol.

Equipment Description

The Vision System is a critical component used for verifying the correctness of labels and codes on solid dosage forms. It is designed to detect misprints and ensure compliance with product specifications.

Detailed Test Cases

Test Case 1: Detection Accuracy

Procedure: Run a set of known misprinted labels through the Vision System and record detection results.

Acceptance Criteria: The system must accurately detect 99.5% of misprints.

Test Case 2: Audit Trail Functionality

Procedure: Perform various operations on the Vision System and verify that all actions are logged in the audit trail.

Acceptance Criteria: All actions must be logged without exception.

Test Case 3: Reject Logic

Procedure: Feed incorrect labels into the Vision System and observe the rejection process.

Acceptance Criteria: The system must reject 100% of incorrect labels.

Deviations

Any deviations from the acceptance criteria must be documented and investigated. A report will be generated outlining the nature of the deviation and corrective actions taken.

Approvals

Prepared By: [Insert Name] Date: [Insert Date]

Approved By: [Insert Name] Date: [Insert Date]

CSV Requirements

Data Integrity Checks:

  • Ensure all input data is validated before processing.
  • Regularly back up audit trails to prevent data loss.
  • Implement user access controls to restrict unauthorized changes.