Ecommerce Ruiguan Detection Patent Design

Design Patent Detection

This skill guides you on how to perform design patent infringement detection, helping e-commerce sellers and IP professionals identify potential design patent risks before listing products.

Core Concepts

Design patent detection compares a product image against a global design patent database using visual similarity algorithms. The system returns patents ranked by similarity score, along with TRO (Temporary Restraining Order) litigation history, helping users assess infringement risk.

Similarity score: A value between 0 and 1. Higher values indicate greater visual resemblance to the patent drawing. Patents with similarity >= 0.7 or those flagged with TRO enforcement history deserve special attention and should be reviewed carefully.

Radar analysis: When radar is enabled, each patent result includes a radarResult with a same flag (suspected infringement: true/false) and an exp field (explanation). This provides an AI-powered judgment beyond raw similarity.

LOC classification: The Locarno Classification (LOC) is an international system for categorizing industrial designs. You can optionally specify LOC codes to narrow the search scope, or leave it unset to let the model predict the appropriate categories automatically.

Parameters Guide

Supported Regions

US (United States), EU (European Union), CN (China), JP (Japan), KR (South Korea), DE (Germany), GB (United Kingdom), FR (France), IT (Italy), AU (Australia), CA (Canada), BR (Brazil), MX (Mexico), IN (India), TH (Thailand), SE (Sweden), CH (Switzerland), IE (Ireland), IL (Israel), DK (Denmark), NZ (New Zealand), AT (Austria), BX (Bolivia), FI (Finland), WO (WIPO)

Default region is US. Use US when the user does not specify a region.

LOC Level-1 Categories

Usage

• API Endpoint: POST /ruiguan/detectionPatentDesign (see references/api.md for full parameters, responses, and error codes)
• Python Script: python scripts/ruiguan_detection_patent_design.py '<JSON parameters>'

Output strategy (script default behavior):

• Prints the full JSON response to stdout

Data reading tip: Use jq or ConvertFrom-Json to extract specific fields from the response as needed.

Usage Examples

1. Basic patent check for a product image (US market)

{
  "imageUrl": "https://example.com/product.jpg",
  "queryMode": "hybrid",
  "topNumber": 50,
  "regions": "US"
}

2. Multi-region check with product context

{
  "imageUrl": "https://example.com/product.jpg",
  "queryMode": "physical",
  "topNumber": 100,
  "regions": "US,EU,CN",
  "productTitle": "Portable Wireless Charger Stand",
  "productDescription": "A foldable wireless charging stand for smartphones",
  "enableRadar": true
}

3. Narrowed search using LOC classification (furniture)

{
  "imageUrl": "https://example.com/chair.jpg",
  "queryMode": "hybrid",
  "topNumber": 80,
  "regions": "US,DE",
  "topLoc": "06",
  "patentStatus": "1"
}

4. Line drawing mode for sketch-based search

{
  "imageUrl": "https://example.com/sketch.png",
  "queryMode": "line",
  "topNumber": 50,
  "regions": "CN,JP,KR"
}

5. Check both active and expired patents

{
  "imageUrl": "https://example.com/product.jpg",
  "queryMode": "hybrid",
  "topNumber": 100,
  "regions": "US",
  "patentStatus": "1,0"
}

Display Rules

1. High-risk patent highlighting: When generating summaries or reports, display ALL patents with similarity >= 0.7 or troCase = true in full detail. For each such patent, include: application number, patent title, inventors, TRO enforcement history, the most-similar patent drawing, every image in the patent image list, patent abstract, patent specification, LOC info, radar analysis result, and specification text. Do NOT abbreviate or omit these fields.
2. Disclaimer: Always append: "This detection result is generated by Nexscope. It is recommended to consult a professional IP attorney for legal advice."
3. Similarity interpretation: Clearly explain that higher similarity scores indicate greater visual resemblance and higher infringement risk.
4. Radar result display: When radarResult.same is true, prominently flag the patent as a suspected infringement match and display the exp explanation.
5. TRO warning: Patents with troCase = true or troHolder = true should be highlighted with a warning, as they indicate the patent holder has a history of active enforcement via Temporary Restraining Orders.
6. Image display: Show both patentImageUrl (the most similar patent drawing) and the full images list so users can visually compare their product against all patent drawings.
7. Error handling: When a request fails, explain the issue and suggest corrective actions (e.g., check image URL accessibility, verify region codes).
8. Present data faithfully: Show query results as-is without adding subjective legal conclusions beyond the tool's own analysis.

User Expression & Scenario Quick Reference

Applicable -- Design patent risk assessment:

Not applicable -- Needs beyond design patent detection:

• Utility patent or invention patent searches
• Trademark infringement checks
• Copyright/DMCA issues
• Legal case management or litigation strategy
• Patent application or filing assistance

Boundary judgment: When users mention "patent check" or "IP risk," if the concern is about product appearance/design similarity to existing patents, this skill applies. If they are asking about utility patents, trademarks, copyrights, or need actual legal counsel, this skill does not apply.

Authentication

Set NEXSCOPE_API_KEY. Visit https://www.nexscope.ai/help/skills-external-access?co-from=skillNS to manage credits.