Image Recognition with Area Attribute Filtering

The patent segments the product recognition process into multiple stages: initial image recognition to identify candidate products, followed by attribute-based filtering and verification. This multi-stage segmentation allows the system to efficiently process multiple products while maintaining accuracy by progressively eliminating false positives through additional verification steps.

The patent introduces attribute information (such as product specifications, pricing, and category data) as an intermediary verification layer between image recognition and final product identification. This intermediary step resolves ambiguities for similar products by cross-referencing recognized images with stored attribute databases, thereby maintaining high accuracy without sacrificing scanning speed.

The patent performs preliminary organization of product data by pre-storing detailed attribute information (specifications, pricing, categories) in a database before the scanning operation. During actual scanning, the system quickly retrieves and compares this pre-prepared data with captured images, enabling rapid accurate identification without requiring manual verification for each product.

The system enables self-service product identification by automatically performing image recognition, attribute matching, and verification without requiring manual scanning or intervention. The automated process identifies products by capturing images and comparing them against the pre-organized database, eliminating time-consuming manual operations while maintaining accuracy through systematic verification.

The patent implements a feedback mechanism where the system continuously verifies recognition results by comparing identified products against stored attribute information and pricing data. When similar products are detected, the system provides feedback loops that cross-validate identification accuracy through multiple attribute checks, ensuring reliable differentiation between similar items while maintaining high scanning speed.

The patent utilizes parameter changes in product attributes (such as pricing, specifications, and category classifications) as additional identification dimensions beyond visual appearance. By incorporating these varying parameters into the recognition process, the system can reliably distinguish between similar products that may appear identical in images, thereby maintaining identification reliability while preserving scanning efficiency.