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BRAINBOX FOR SMART AND INTELLIGENT MANUFACTURING, PROCESS AND FOR OEMs
BRAINBOX FOR ALL

de-risking your decisions

predictive maintenance and machinery inspection is the core of Brainbox AI, which ensures proper functioning of systems and reduces it rate of deterioration. Brainbox AI encompasses real-time machine and lube monitoring and adjustments of equipment without prior knowledge of equipment failure.

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SPICA FOR AUTOMOTIVE INDUSTRY

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  • Automated 3D measurement, with rejection mechanism

  • Enhanced 3D dimensional analysis & quality control

  • Estimation of initial fatigue and permeability (FEM enabled)

  • Dimensional measurement, Gap measurements (caliper, gauge, go-no-go etc.)

  • Drawing compliance

  • Coating measurement

  • Support for zero defects quality management

BRAINBOX FOR PORTS 

Existing structure’s integrity is assessed by using either standards/recommendations or procedures. However, when it comes to the ship unloaders there are no standards or recommendations. Therefore, to address this drawback Tardid is providing an innovative which can create standards and recommendations for operation even after 10 years of solid usage

  • Provides real-time unloader health conditions, anomaly detection

  • Provides real-time ship unloader structural integrity

  • Estimation of deterioration asset condition due to erosion /corrosion

  • Prediction of future  structural degradation location

  • Detection and localization of structural degradation location

  • User-friendly Graphical User Interface for clearly indicating the intensity and location of the structural degradation

  • Provides a warning notification when the degradation reaches a predefined threshold value (unacceptable limits)

  • Assist's key stakeholders regarding allowable operating conditions based on the real-time structural condition of the ship unloader

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BRAINBOX FOR THE STEEL INDUSTRY

Tardid’s Artificial Intelligence Solution provides a real-time AI-based decision support system that can process reheating furnace details, sensors data, metadata, and historical data for achieving optimal operating parameters by taking into consideration of Billets, and blooms, or slabs details.

  • Improves quality of Slabs (reduces Scale formation of slabs)

  • Improves uniformity of slab (which will reduce wastage of iron and minimizes loss of downward system)

  • Reduction of Fuel consumption ( by assisting optimal Air/Fuel ratio for minimum excess Air)

  • Reduction of Power consumption

  • Reduction of Carbon emission

  • Improves thermal efficiency of reheating furnace

  • Improves combustion efficiency

  • Increase furnace life

  • Increase overall production yield

  • Reduces/Eliminates dependency on the human (experts’) intervention