Performance Evaluation of Blockchain-Based AIoT Inspection Device

Abstract

The research proposes and evaluates a blockchain-based AIoT inspection system implemented on an NVIDIA Jetson Xavier NX edge computing device. The system integrates AI-powered inspection capabilities with Hyperledger Fabric blockchain technology to ensure tamper-proof record-keeping and data integrity. Performance analysis demonstrates the feasibility of running distributed ledger technology in conjunction with AI processing on edge computing devices. The implementation achieves reliable verification of inspection data while maintaining acceptable computational resource usage and energy consumption. Results indicate that blockchain integration prevents unauthorized data manipulation without significantly compromising system performance.