Ruiguan Design Patent Detection

This skill guides you on how to perform design patent infringement detection using the Ruiguan engine, 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