Self service settlement desk solution
Based on the commodity recognition technology of computer vision, the recognition model is customized for the settlement desk scene. Through the camera at the top of the settlement area, quickly identify the commodity information that consumers put into the settlement area, automatically generate bills, and improve the settlement efficiency
Programme composition
Provide a high-precision, scalable and low-cost commodity identification scheme, automatically identify the commodities placed in the settlement area by the camera, replace the traditional manual scanning method, quickly settle accounts, and improve the shopping experience
Commodity inspection and identification
Detect the number of goods on the checkout counter, accurately identify the types of goods, and can identify more than 10 goods at one time
Multi category commodity warehouse
Covering major categories such as food and beverage, daily chemical department stores, etc., supporting thousands of common commodities, and adapting to various commodity combinations in supermarket and convenience store scenarios
Commodity image acquisition
For the newly added commodities, the data acquisition device combined with software and hardware can automatically collect the image information of commodities and quickly put them into storage
Scheme process
A camera is arranged above the settlement desk to collect video streams in real time; The user places the selected goods in the settlement area, and the back-end calls the commodity identification service to identify the commodity information, generate a bill based on the commodity unit price, and the user checks the bill for payment
Application scenarios
Supermarket self-service settlement
Users who buy standard packaged goods can quickly complete the settlement without waiting in line for manual code scanning, improving the user's shopping experience and improving the efficiency of supermarket operations
Self service settlement of convenience store
Instead of the traditional manual code scanning method, users can settle their own accounts and leave the store quickly after purchasing goods, effectively relieving the queuing pressure during rush hours of commuters and traffic hubs
Customer Stories
Rongxun Weiye (Beijing) Technology Co., Ltd
Rongxun Weiye cooperates with many supermarkets across the country, and uses AI technologies such as Baidu commodity identification to enable offline physical stores to carry out intelligent upgrading and transformation of the checkout area, perfectly replace traditional manual checkout and code scanning, create an ultimate shopping experience, and significantly save labor costs for cooperative businesses
Scheme advantages
10+commodities can be settled at a time
A single settlement can accurately identify more than 10 different categories of goods without scanning the code, which is efficient and convenient
Significantly reduce operating costs
The product identification scheme based on visual technology replaces traditional methods such as manual cashier and RFID, saving fixed costs
Automatic warehousing of new goods
The newly added commodities can complete image acquisition with one key through the acquisition device, automatically upload to the warehouse, and quickly complete commodity expansion
