Galvanization

AI Powered Surface Finishing and how AI Vision Driven Galvanization can Exponentially improved Productivity

How it works

Powerful Advanced Features

Dynamically initiate market positioning total linkage with clicks-and-mortar technology progressively procrastinate compelling.

Problem Statement

There is several drawbacks in manual monitoring process such as:

  • Inaccurate data by manual records
  • Process and Cycle-time Violations
  • Unable to track OEE of Tanks or Beams
  • No traceability of Assets and People
  • No Real-time Shop Floor Visibility & control
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Solution Provided

How we used Advanced AI to propose the following solutions and positively impact the outcome.

  • Zink & other tanks Monitoring
  • Crane & Beam Monitoring
  • Zinc temperature for every dip
  • Acid concentration in pickling
  • Jigging station monitoring
  • Process SOP & cycle time compliance

Features

  • Measuring dipping time for each rack at different tanks
  • Monitoring and tracking of rack across all tanks
  • Total Output of each tank
  • Total Status of tanks
  • Beam Arrival/Departure time for each tank
  • Total Dip time for each tank
  • Type defined on Variant and SKU sub type
  • Record Beam No. and tracking
  • Idle time/Wait time between each tank
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Return on Investment

Intrinsicly impact resource sucking initiatives with 24/7 relationships communicate integrated products via synergistic leadership skills. Conveniently pursue future-proof web services through empowered bandwidth.

  • Full Compliance hourly and daily targets

  • 100% real-time Poka yoke enabled

  • Maximum feasible Resource OEE achieved

  • Material unavailability delay avoided