WHAT IS THE

The COUNTQ system is the leading inspection and reconciliation machine used to accurately count tray-loaded parts. The system significantly increases accuracy of count and throughput vs. manual methods, and is an indispensable tool for count verification and reconciliation.

THE COUNTQ SYSTEM FOR

COUNTQ SYSTEM?

COVID VACCINE RAPID DEPLOYMENT

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COUNTQ™

  • Commercial off-the-shelf software is maintained and validated internally by Verista, significantly reducing client validation efforts.
  • Includes as standard a 21 CFR Part 11 Compliance Package, providing a configurable closed system audit trail report.
  • COUNTQ machine eliminates count deviations that occur during filling and packaging processes.
  • Software provides 100% electronic verification of product counts.
  • Increased efficiency and count accuracy reduce operational costs (labor).
  • Virtually eliminates rework of lots due to reconciliation and count discrepancies.
  • Eliminates the need for tray templates.
  • A single COUNTQ machine handles vials, syringes, ampoules and other tray-loaded parts.
  • Includes full-featured visual multi-touch HMI with recipe management, inspection configuration, parameter control, image visualization, integrated security, and reporting.

Under Operation Warp Speed, manufacturers have been charged with delivering millions of doses of a successful COVID-19 vaccine by November/December 2020, and hundreds of millions of doses by the end of 2021.

With the COUNTQ system, a trained operator can accurately inspect a tray in 15 seconds – a significant labor savings.

COUNTQ SYSTEM

CASE STUDY

  • Tray counting operations are traditionally manual and subject to inaccuracy in counts
  • Customer incurs a high cost for manual counting operations labor.
  • Safety considerations for manual labor (repetitive motion, eye strain, needle poke)
  • Low throughput for manual counting, especially in 200% verification operations

PROBLEM

  • High resolution imaging to account for variation in tray and product size
  • Auto adjustment of camera and light heights was incorporated into the base design to account for variation in product and tray height
  • Deep learning as an option for difficult to inspect formats (ampoules, needles) that required more than traditional machine vision
  • A thorough testing strategy was pursued to ensure compatibility with multiple product and tray types

SOLUTION

  • Improved accuracy in counting and reconciliation over operator counting
  • Significantly higher throughput
  • Reduced labor costs and improved worker happiness for repetitive task
  • Secure reporting and analysis of each tray on a lot basis

VALUE

VALUE