Design Patent Detection

SkillSearch

Detect design patent infringement risks by comparing a product image against a global design patent database across 25+ jurisdictions. Triggered when users mention design patent detection, patent infringement check, patent risk analysis, TRO case lookup, design patent search, product design patent screen, or visual patent similarity. Even if the user does not explicitly say \"design patent,\" this skill should be triggered whenever the need involves checking whether a product image may infringe existing design patents.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Design Patent Detection skill

What this skill tells your AI

The instructions your AI receives, as published by nexscope-ai/nexscope-ecommerce-skills in ecommerce-ruiguan-detection-patent-design/SKILL.md and read by ahel’s review.

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

ParameterRequiredDefaultDescription
imageUrlYes-Product image URL to check against the patent database
queryModeYeshybridSearch mode: physical (real product photo), line (line drawing), hybrid (combined)
topNumberYes100Number of patent results to return (max 100)
regionsNoUSCountry/region codes, comma-separated for multiple (e.g., US,EU,CN)
productTitleNo-Product title for supplementary context
productDescriptionNo-Product description for supplementary context
patentStatusNo1Patent validity: 1 (active), 0 (expired), 1,0 (both)
enableRadarNotrueEnable AI radar analysis for suspected infringement judgment
topLocNo-LOC level-1 codes to restrict search scope (e.g., 06,07). Omit to use auto-prediction
sourceLanguageNo-Source language code for translation (e.g., zh-CN). Leave empty if text is already in English

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

CodeCategory
01Food
02Clothing, haberdashery and sewing accessories
03Travel goods, cases, parasols and personal items
04Brushes
05Textiles, artificial and natural sheet material
06Furniture and household goods
07Household items
08Tools and hardware
09Packages and containers for transport or handling of goods
10Clocks, watches, measuring/checking/signaling instruments
11Ornamental articles
12Means of transport or hoisting
13Equipment for production, distribution or transformation of electricity
14Recording, telecommunication or data processing equipment
15Machines
16Photographic, cinematographic and optical apparatus
17Musical instruments
18Printing and office machinery
19Stationery, office equipment, art materials, teaching materials
20Sales and advertising equipment, signs
21Games, toys, tents and sports goods
22Arms, pyrotechnic articles, hunting/fishing/pest-killing articles
23Fluid distribution, sanitary, heating, ventilation, air-conditioning equipment, solid fuel
24Medical and laboratory equipment
25Building units and construction elements
26Lighting apparatus
27Tobacco and smoking supplies
28Pharmaceutical/cosmetic products, toilet articles and apparatus
29Devices and equipment against fire, for accident prevention and rescue
30Articles for care and handling of animals
31Machines and apparatus for preparing food or drink
32Graphic symbols, logos, surface patterns, ornamentation, interior/exterior arrangements
ALLAll 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:

User SaysScenario
"Check if this product infringes any design patents"Basic patent detection
"Patent risk check for this image"Image-based patent search
"Does this product have TRO risk"TRO enforcement history lookup
"Design patent search for US and EU"Multi-region patent detection
"Check appearance patent for this product"Category-specific patent search
"Is this product design safe to sell"Pre-listing patent clearance
"Find similar design patents"Similarity-based patent discovery
"Patent infringement analysis"Comprehensive patent risk report

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.

Signals

GitHub stars
67
Forks
9
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
ecommerce-ruiguan-detection-patent-design
Source
github.com/nexscope-ai/nexscope-ecommerce-skills