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Fast moving consumer goods detection
The commodity detection API that can be used directly without training supports the identification of common drinks and daily chemical products. The interface returns the name, specification, category and position of the commodity in the picture. The AI model is specially optimized for commodity display scenes to adapt to a variety of complex shelf scenes such as large supermarkets, convenience stores, street stores, etc
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Function introduction
Application scenarios
Characteristic advantages
Related recommendations
Function introduction
Application scenarios
Digital marketing
Interactive marketing
Digital marketing
When visiting terminal stores, business representatives of FMCG brands accurately identify the names and location information of goods displayed on shelves, freezers and end shelves, which can be used to assist in statistics of display indicators such as goods arrangement, proportion of shelves, and distribution of goods on complete shelves
Cooperation cases
Characteristic advantages
Highly available model effect
Special algorithm optimization for retail scenes, combined with image synthesis and enhancement technology to improve the model generalization ability and ensure the model is highly available in the production environment
The interface is simple and easy to use
Standardized interface encapsulation, easy to call, just upload a single picture, you can get the complete identification results
Rich commodity information
The interface supports the return of the complete information of the product, including the product name, brand and specification
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Technical capability
Voice technology
Character recognition
Face and Human Body
Image technology
Language and knowledge
video technique