Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Commodity identification optimization device and method based on artificial intelligence technology

An artificial intelligence and optimization device technology, applied in the field of commodity identification, can solve the problems of cumbersome process and low efficiency, and achieve the effect of improving accuracy, avoiding mistakes, and reducing operation labor and cost input

Pending Publication Date: 2022-03-01
HUIZHOU ECONOMICS & POLYTECHNIC COLLEGE
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Existing large-scale supermarkets and fresh food stores often manually weigh and price bulk commodities, and finally price the commodities by pasting marked barcodes with prices. The barcode scanner scans the barcode on the product again to get the price of the corresponding product. The process is very cumbersome and inefficient, and requires the cooperation of multiple groups of personnel to realize the operation.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Commodity identification optimization device and method based on artificial intelligence technology
  • Commodity identification optimization device and method based on artificial intelligence technology
  • Commodity identification optimization device and method based on artificial intelligence technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0026] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. The specific embodiments described here are only used to explain the present invention, not to limit the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0027] see figure 1 , the present invention provides a commodity identification and optimization device based on artificial intelligence technology, including a commodity placement platform 1, a commodity weighing plate 2 is installed on the top surface of the commodity placement platform 1, and a For the weight sensor, a spirit level is...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a commodity recognition optimization device and method based on an artificial intelligence technology, and belongs to the field of commodity recognition, the method comprises the steps of commodity classification, commodity weighing, recognition of a first type of commodities, recognition of a second type of commodities and commodity price display, and the device used in cooperation with the method comprises a commodity placement table. A commodity weighing plate is installed on the top face of the commodity placing table, the side wall of the commodity placing table and one end of a display supporting arm are fixedly installed, a display table is installed at the other end of the display supporting arm, an identification box is installed on the side wall of the display table, and bar code identification modules are installed on the side walls of the identification box correspondingly. An image recognition module is installed at the bottom end of the recognition box, after commodities are classified, the corresponding recognition modules are selected for recognition according to the characteristics of the first type of commodities and the characteristics of the second type of commodities, and therefore pricing, weighing and pricing processing can be well conducted on the commodities, manual operation is reduced, and efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of commodity identification, and in particular relates to a commodity recognition optimization device and method based on artificial intelligence technology. Background technique [0002] Artificial intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a manner similar to human intelligence. Research in this field includes robotics, language recognition, image recognition, Natural language processing and expert systems, etc., such as heavy scientific and engineering calculations were originally undertaken by the human brain, and now computers can not only complete such calculations, but also do it faster and more accurately than the human brain, so contemporary people have This kind of calculation is no longer regarded as a "complex task that requires human intelligence to complete". It can be seen that t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q20/20
CPCG06Q20/201G06Q20/208G06Q30/0283G07G1/0072G07G1/0036G07G1/06G06K17/00G06K7/10861G06F16/583G06F16/538G06F16/907G06F16/9038G06F18/22
Inventor 金慧王芬华楚霞
Owner HUIZHOU ECONOMICS & POLYTECHNIC COLLEGE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products