Tracking and traceability of parts of a product
Published in USPTO, 2020
🧠 US 10699419 B2 — Tracking and Traceability of Parts of a Product (Issued Jun 30 2020)
🧾 Overview
This patent proposes systems and techniques for tracking and tracing components through manufacturing. It uses an imaging sensor system to capture semantic data describing each step of a manufacturing process and applies artificial reasoning to generate assertions characterizing the execution. The data and assertions form a digital trace record for each component.
⚙️ Key Innovations
- Semantic data streams: Cameras and sensors record processes, generating rich data about operations.
- Artificial reasoning: The system infers events and generates assertions to describe the manufacturing execution.
- Digital trace records: Aggregated data can track parts back to specific events without physical tags or barcodes.
📊 Significance
Traditional traceability relies on barcodes, tags, or manual records. This solution reduces labor, eliminates intrusive labeling, and can improve quality control and recall management by automating traceability. It also provides a more detailed and reliable record of manufacturing events.
🔍 TL;DP Summary Table
| Element | Description |
|---|---|
| Patent No. | US 10699419 B2 |
| Title | Tracking and traceability of parts of a product |
| Core method | Capture semantic data from sensors, apply AI reasoning, build digital trace records |
| Key benefit | Provides automated traceability without physical tags or barcodes |
| Issue date | Jun 30 2020 (active) |
BibTeX Citation:
@misc {cui2020tracking, title= {Tracking and traceability of parts of a product} , author= {Cui, Tao and Rosca, Justinian and Bank, Hasan Sinan} , year= {2020} , month=jun # "~30", publisher= {Google Patents} , note= {US Patent 10,699,419} }