AI image processing and blockchain can be combined to solve data traceability issues by leveraging the strengths of both technologies: AI for analyzing and understanding visual data, and blockchain for providing an immutable, transparent, and decentralized ledger to record the history and authenticity of that data.
AI Image Processing for Data Analysis:
AI algorithms, such as computer vision models, can analyze images to extract metadata (e.g., objects, scenes, timestamps, or anomalies). For example, in supply chain management, AI can process images of products to detect defects, verify authenticity, or classify items.
Blockchain for Immutable Record-Keeping:
Blockchain stores the metadata, analysis results, and transaction history of these images in a tamper-proof manner. Each image or its processed data can be hashed and recorded on the blockchain, creating a verifiable audit trail.
Smart Contracts for Automation:
Smart contracts can automate workflows, such as triggering actions when AI detects specific conditions (e.g., a defective product) or verifying the authenticity of an image before it is added to the blockchain.
Supply Chain Authenticity Verification:
To implement this, a scalable and secure cloud infrastructure is essential. Tencent Cloud offers services like:
This combination ensures that image data is not only analyzed intelligently but also stored with full traceability and trust.