Graphic Trademark Detection

This skill guides you on how to detect graphic trademarks in product images, helping e-commerce sellers and brand owners identify potential trademark infringement risks before listing products.

Core Concepts

Graphic trademark detection analyzes a product image to find visually similar registered trademarks across multiple countries and regions. The tool uses YOLO-based object detection to locate logo-like regions in the image, then compares them against trademark databases worldwide.

Similarity score: A higher similarity value means the detected graphic is more visually similar to the registered trademark. Values closer to 1.0 indicate near-identical matches and higher infringement risk.

Trademark status meanings:

Parameter Guide

Supported Regions

US (United States), WO (WIPO), ES (Spain), GB (United Kingdom), DE (Germany), IT (Italy), CA (Canada), MX (Mexico), EM (European Union), AU (Australia), FR (France), JP (Japan), TR (Turkey), BX (Benelux), CN (China)

When the user does not specify a region, omit the regions parameter so all countries are searched by default.

Usage Examples

1. Basic image trademark check Detect trademarks in a product image across all regions, returning up to 10 results:

imageUrl: "https://example.com/product-image.jpg"
topNumber: 10

2. Region-specific trademark check Check a product image against US and EU trademark databases only:

imageUrl: "https://example.com/product-image.jpg"
topNumber: 5
regions: "US,EM"

3. Detailed check with product context Provide product title and suspected logo name for more accurate detection:

imageUrl: "https://example.com/product-image.jpg"
topNumber: 10
productTitle: "Wireless Bluetooth Headphones with Noise Cancellation"
trademarkName: "SonicWave"
regions: "US,GB,DE"

4. Full detection with image cropping Enable localizing to get cropped images of detected logo regions:

imageUrl: "https://example.com/product-image.jpg"
topNumber: 20
enableLocalizing: true
regions: "US"

Usage

• API Endpoint: POST /ruiguan/trademarkGraphicDetection (see references/api.md for full parameters, responses, and error codes)
• Python Script: python scripts/ruiguantrademarkgraphic_detection.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.

Display Rules

1. Present results clearly: Show detection results in a well-structured table including trademark image, similarity score, trademark name, status, registration office, Nice classification, applicant name, and key dates
2. Highlight high-risk matches: When similarity is above 0.8, explicitly warn the user about high infringement risk
3. Explain trademark status: When showing results, clarify what each trademark status means for the user's risk assessment
4. Radar results: If radarResult is present in the response, display it prominently as it contains aggregated risk assessment
5. Sub-radar results: If individual items contain subRadarResult, include this information alongside each match
6. Region context: Always indicate which regions were searched so the user understands the scope of the check
7. Error handling: When a detection fails, explain the reason based on the response and suggest adjustments (e.g., using a clearer image, specifying regions, adjusting topNumber)

Important Limitations

• Image requirement: The imageUrl parameter is mandatory; the tool cannot perform detection without an image
• Result cap: The topNumber parameter caps at 100 results per request
• Image quality: Detection accuracy depends on image resolution and clarity; higher quality images yield better results
• Region coverage: Not all countries are covered; the supported list includes 15 major trademark offices

User Expression & Scenario Quick Reference

Applicable -- Graphic trademark detection tasks:

Not applicable -- Needs beyond graphic trademark detection:

• Text/word trademark search (no image involved)
• Trademark registration or filing
• Patent or copyright checks
• Legal advice on trademark disputes

Boundary judgment: When users say "check my product" or "is this safe to sell," if the concern relates to graphic elements or logos in product images potentially infringing registered trademarks, this skill applies. If they are asking about text trademarks, patent issues, or general legal compliance, it does not apply.

Authentication

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