An unattended supermarket based on intelligent warehouse

Abstract

The invention provides an unattended supermarket based on an intelligent warehouse. The unattended supermarket at least comprises a supermarket entry, a supermarket exit, a goods placing region and aclearing region, wherein the unattended supermarket is of a double-layer structure; the lower layer is equipped with the intelligent warehouse; the upper layer is equipped with a purchasing region; the supermarket entry, the supermarket outlet, the goods placing region and the clearing region are positioned in the purchasing region at the upper layer; the intelligent warehouse is equipped with a sub area which is consistent with the goods placing region; and an automatic sorting device is arranged in the sub area. The intelligent goods rack is connected with the intelligent warehouse at lowerlayer and consists of a goods display region, a goods outlet, a goods selecting panel and a goods transfer device. The unattended supermarket solves the defects in the prior art, can realize intelligent guide, intelligent purchasing and intelligent clearing, can greatly reduce labor cost and rental cost, and improves purchasing efficiency.

Description

technical field [0001] The invention relates to an intelligent unattended supermarket, in particular to an unattended supermarket based on an intelligent warehouse, and belongs to the technical field of the Internet of Things. Background technique [0002] At this stage, large-scale retail stores often have the following problems: 1. High labor costs. Often a medium-sized retail store requires more than 100 people from multiple departments such as cash register, goods receipt, loss prevention, shopping guide, maintenance and customer service. If it continues to operate, the monthly operating income will be invested in personnel salaries, accounting for about 30%. 2. The design scale is unreasonable. Customers need to find the location of the product if they want to buy a certain product. They need to keep asking and searching, which wastes a lot of time. 3. There are too many things on the shelves of retail stores, which take up too much area. Generally, the traditional she...

AI Technical Summary

Problems solved by technology

[0002] At this stage, large-scale retail stores often have the following problems: 1. High labor costs. Often a medium-sized retail store requires more than 100 people from multiple departments such as cash register, goods receipt, loss prevention, shopping guide, maintenance and customer service. If it continues to operate, the monthly operating income will be invested in staff salaries, accounting for about 30%

2. The design scale is unreasonable. Customers need to find the location of the product if they want to buy a certain product. They need to keep asking and searching, which wastes a lot of time

3. There are too many things on the shelves of retail stores, which take up too much area. Generally, the traditional shelves are large and full of goods. Their functions overlap with those of the warehouse, resulting in waste of resources.

3. There are too many shopping carts, which are randomly placed and not easy to collect

4. Queuing up for checkout affects shopping speed and customer satisfaction, because the traditional cash register mode mainly relies on manual scanning code to receive cash, which is too inefficient, resulting in long queues for customers to check out

[0004] (1) Ma Yun’s Hangzhou unmanned supermarket adopts the scheme of pasting RFID tags on each product combined with visual sensors to prevent theft, and customers take the products to settle their own settlements; however, RFID-based unmanned supermarkets need to consume a lot of RFID tags. Although the RFID tags themselves cost Inexpensive, but for the large number of commodities in the supermarket, it is not recyclable. At the same time, the input and pasting of RFID tag data before putting on the shelves will increase the labor cost;

[0005] (2) The Amazon Go convenience store launched by Amazon in the United States uses a large number of cameras combined with a variety of smart technologies to calculate who took which item by sensing the relative position between people and the shelf and the movement of items on the shelf. Final settlement; this type of unmanned supermarket based on visual tracking technology requires a large number of cameras, which has a high cost and relies on more advanced visual tracking algorithms. For customers with similar looks or clothing, the error rate is obviously increased, and the practicability is not good. powerful;

[0006] (3) Bingo Box adopts the technology of image recognition and artificial intelligence fusion, and conducts image recognition for each product to confirm the price before settlement. However, based on image recognition itself, there are certain technical defects, such as slow scanning time and low scanning accuracy, etc., and Settlement devices are expensive

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