SkySmart Solution for Baggage Conveyor Systems

International Airport Integrates Data & Orchestrates Flow Across Platforms

Senzary SkySmart Solutions offers comprehensive monitoring of baggage conveyor systems, integrating vibration, ultrasound, temperature, tri-axial movement, shock, and motor current analysis. This multi-faceted approach enables early detection of issues ranging from component failures to emission problems and electrical fluctuations. By leveraging advanced sensors and data analysis, Senzary transforms baggage handling system (BHS) management from reactive to proactive, allowing airports to anticipate and address problems before they escalate into costly breakdowns.


The system’s predictive maintenance capabilities offer significant benefits, including minimized downtime, reduced operational expenses, and extended component lifespan. It enhances efficiency by identifying bottlenecks and optimizing equipment performance, leading to faster baggage processing and reduced passenger delays. Datadriven insights empower operators to make informed decisions about maintenance schedules and resource allocation.


Ultimately, Senzary’s solution contributes to an improved passenger experience by reducing instances of
mishandled luggage and shortening wait times at baggage reclaim. This comprehensive approach not only optimizes BHS operations but also elevates overall customer satisfaction, providing airports with a strategic advantage in managing the complex logistics of passenger luggage.

IoTLogIQ Benefits & ROI

  • Reduce Downtime: anticipate and address problems before they escalate into costly breakdowns
  • Optimized Maintenance Costs: proactive maintenance enable airports to reduce operational expenses through fewer emergency repairs, fewer replacements, and fewer unnecessary inspectionse.
  • Extended Equipment Lifespan: identify potential issues early, allowing for timely interventions that extend the lifespan of baggage system components
  • Improved Operational Efficiency: :optimize baggage process by predicting baggage flow, dealing with bottlenecks, and minimizing recirculation