Automated Visual Inspection (AVI) System – PQ Protocol

Document Control:

Document Title: Performance Qualification Protocol for Automated Visual Inspection System

Document Number: PQ-AVI-001

Version: 1.0

Effective Date: [Insert Date]

Prepared By: [Insert Name]

Approved By: [Insert Name]

Performance Qualification Protocol for Automated Visual Inspection System

Meta Description: This document outlines the Performance Qualification protocol for the Automated Visual Inspection System, focusing on particulate and cosmetic inspection in production.

Tags: Equipment Validation, Performance Qualification, Automated Visual Inspection, Pharmaceutical Industry

Objective

The objective of this Performance Qualification (PQ) protocol is to verify that the Automated Visual Inspection (AVI) System operates within specified limits to ensure the integrity and quality of the product packaging.

Scope

This protocol applies to the Automated Visual Inspection System used in the production area for particulate and cosmetic inspection of packaging. It encompasses all critical parameters and acceptance criteria as defined in the User Requirement Specification (URS) Annex 11.

Responsibilities

  • Validation Team: Responsible for executing the PQ protocol and documenting results.
  • Quality Assurance: Responsible for reviewing and approving the PQ protocol and results.
  • Production Team: Responsible for ensuring the system is operational and maintained according to SOPs.

Prerequisites

  • System installation and operational qualification (OQ) must be completed.
  • Staff training on the AVI system must be completed.
  • All relevant standard operating procedures (SOPs) must be in place.

Equipment Description

The Automated Visual Inspection (AVI) System is designed to perform real-time inspection of packaging for particulate and cosmetic defects. It employs advanced imaging technology to ensure compliance with product specifications.

See also  Nitrogen Purging System – OQ Protocol

Test Plan

Test ID Procedure Acceptance Criteria Evidence
TP-001 Verify detection sensitivity Must detect >99% of specified particulates Test report
TP-002 Test reject logic Reject logic must function as defined Log files
TP-003 Audit trail verification Audit trail must be complete and accurate Audit report

Detailed Test Cases

Test Case 1: Detection Sensitivity

Objective: To confirm the system’s ability to detect specified particulates.

Procedure: Conduct tests using known particulate sizes and types. Record detection rates.

Acceptance Criteria: Detection rate must exceed 99%.

Expected Outcome: System successfully detects all specified particulates.

Test Case 2: Reject Logic

Objective: To ensure the reject logic functions correctly.

Procedure: Simulate defects and verify system response.

Acceptance Criteria: System must reject all defective packages.

Expected Outcome: All defective packages are rejected as per logic rules.

Test Case 3: Audit Trail Verification

Objective: To validate the integrity of the audit trail.

Procedure: Review audit trail logs for completeness and accuracy.

Acceptance Criteria: Audit trail must show all actions taken by the system.

Expected Outcome: Complete and accurate audit trail is maintained.

Deviations

Any deviations from the acceptance criteria must be documented and investigated. Corrective actions must be taken as necessary, and all deviations must be reported to Quality Assurance for review.

Approvals

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

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

Data Integrity Checks

For the CSV requirement, the following data integrity checks will be implemented:

  • Verification of data entry accuracy through automated checks.
  • Regular audits of data logs to ensure compliance.
  • Implementation of backup procedures to prevent data loss.
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