Title:
AUTOMATIC GOODS PAYMENT METHOD AND APPARATUS, AND SELF-SERVICE CHECKOUT COUNTER
Document Type and Number:
WIPO Patent Application WO/2019/062018
Kind Code:
A1
Abstract:
An automatic goods payment method and apparatus, and a self-service checkout counter. The method comprises: obtaining images of goods, wherein the goods are encoded with an anti-theft code; inputting images of the goods into a neural network-based recognition system and outputting goods information based on the neural network-based recognition system; generating payment information from the outputted goods information; and cancelling the anti-theft encoding of the goods after payment is completed. Goods are identified by making full use of neural networks, and determination of the acquired multiple images and the acquired goods information is executed, so as to avoid the over-reliance on image recognition of conventional image recognition systems which results in a high error rate, thus improving recognition accuracy. In addition, the overall payment process can be completed without cashier services, reducing operating costs.
Inventors:
CHEN ZILIN (CN)
WANG LIANGQI (CN)
WANG LIANGQI (CN)
Application Number:
PCT/CN2018/077652
Publication Date:
April 04, 2019
Filing Date:
February 28, 2018
Export Citation:
Assignee:
BINGOBOX BEIJING TECH CO LTD (CN)
International Classes:
G06Q20/20
Foreign References:
| CN104296852A | 2015-01-21 | |||
| CN106781121A | 2017-05-31 | |||
| CN105989510A | 2016-10-05 | |||
| KR20150059377A | 2015-06-01 | |||
| US20170132496A1 | 2017-05-11 |
Other References:
LI, JINGSONG ET AL.: "Supermarket Commodity Identification Using Convolutional Neural Networks", 2016 2ND INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND INTERNET OF THINGS (CCIOT, 23 October 2016 (2016-10-23), pages 115 - 119, XP033072542
Attorney, Agent or Firm:
PERIODIC LAW FIRM (CN)
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