A Blockchain-based Traceability System for AI-Driven Engine Blade Inspection explores BladeChain provides immutable traceability for aircraft engine blade inspections using blockchain and AI, ensuring auditable maintenance across stakeholders.. Commercial viability score: 7/10 in Supply Chain AI.
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Eman Ouda
Khalifa University of Science & Technology
Mohammed A. Mohammed Eltoum
Khalifa University of Science & Technology
Khaled Salah
Khalifa University of Science & Technology
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2/4 signals
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3/4 signals
Series A Potential
4/4 signals
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Analysis model: GPT-4o · Last scored: 4/2/2026
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Aircraft engine blades are critical for flight safety, and their inspection records are fragmented and vulnerable to tampering. A robust, unified traceability system ensures safety, compliance, and efficiency.
Productize this system as a SaaS offering to airlines and maintenance organizations, integrating with their existing IT infrastructure to replace paper and fragmented digital systems.
Replaces fragmented manual and digital inspection record-keeping systems, reducing error and fraud potential while enhancing compliance with regulatory audits.
The $125 billion global MRO market is ripe for solutions that enhance traceability and safety compliance. Airlines and MROs would pay for a robust traceability tool that could reduce error rates and compliance oversight costs.
Deploy BladeChain in commercial aviation to streamline blade inspection processes, providing airlines and MROs with a robust audit trail for compliance and efficiency.
The system uses blockchain to provide a tamper-evident ledger of engine blade inspections, employs AI for defect detection, and schedules maintenance based on flight hour thresholds. The AI model details are recorded, allowing audits on the inspection process.
The prototype was tested on the Hyperledger Fabric with realistic workflow scenarios. It achieved 100% lifecycle completion and demonstrated performance benchmarks for consensus and security trade-offs.
Adoption requires significant buy-in from industry regulators, OEMs, and service organizations. The system's reliance on blockchain might introduce complexities and initial overhead.