The PoC will assess how Honeywell Aerospace APU systems, combined with Odysight.ai's ruggedized sensors, edge AI, and predictive analytics, can improve visibility, reliability, and maintenance decision-making across APUs and other critical components. Initial work will focus on the APU air intake, a high-exposure area where debris, contamination, icing, and wear can materially affect performance and availability, with a potential path, subject to successful results, to expand across the broader APU assembly.

By enabling continuous, real-time monitoring between scheduled inspections, Odysight.ai's solution can detect early signs of foreign object damage, contamination, corrosion, structural wear, and partial flow restrictions before they develop into more disruptive maintenance events. For operators, that can translate into reduced unplanned downtime, more efficient maintenance planning, and higher asset availability.

Primary Proof-of-Concept Highlights:

  • Real-time visual monitoring of the APU air intake and other hard-to-access APU locations
  • Earlier fault detection to improve maintenance and operational efficiency

Odysight.ai's platform deploys miniature, ruggedized visual sensors in hard-to-access, safety-critical areas such as the APU air intake, enabling continuous, high-resolution internal monitoring. Real-time, edge-based AI/ML analytics process visual data onboard to detect anomalies, wear patterns, and early-stage degradation before they develop into failures or unplanned removals. With more than 10,000 Honeywell Aerospace APUs in service across global defense and commercial fleets, the APU air intake represents a large, recurring addressable market for Odysight.ai as the technology moves toward broader deployment.