A special plastic bag for artificial intelligence to identify commodities

Abstract

The invention provides a special plastic bag for artificial intelligence identification of commodities, the plastic bag is composed of the following components in parts by weight: SiO 2 30-40 parts of coupled linear low-density polyethylene nanoparticles; 40-60 parts of o-phenylphenol-polyvinyl alcohol graft copolymer; 15-20 parts of polyvinylpyrrolidone; chitosan compatibilized modified montmorillonite nanoparticles 15-20 parts; 10-15 parts of modified starch; 5-10 parts of non-ionic surfactant; TiO 2 5-10 parts of nanoparticles; 3-5 parts of glycerin; 5-7 parts of potassium stearate; 1-2 parts of polycaprolactone. The special plastic bag for artificial intelligence identification of commodities provided by the invention has the characteristics of no wrinkle, low reflectivity, no seam at the bottom, and good permeability, which provides a good environment for the image collection of artificial intelligence identification, and can improve the self-efficiency of the plastic bag. Cleaning performance, avoid the adhesion of oil stains, etc., improve the light transmission and air permeability of plastic bags, and avoid the spoilage of goods.

Description

technical field [0001] The invention belongs to the technical field of polymer materials, and in particular relates to a special plastic bag for artificial intelligence identification of commodities. Background technique [0002] With the advent of the trend of consumption upgrading and changes in the social demographic structure, the sales growth rate of convenience stores has been gratifying in recent years, while the sales growth rate of supermarkets has slowed down significantly. At the same time, the cost of employing and renting convenience stores is rising, and profits are being squeezed. Traditional convenience stores lack the collection and effective analysis of data. Therefore, the application of commodity recognition technology to the field of unmanned retail (such as small convenience stores) has a lot of room for development. The use of mature barcode technology is very cost-effective. Customers adjust the position of the product barcode and barcode scanner to ...

AI Technical Summary

Problems solved by technology

In order to cooperate with the product image collection in the artificial intelligence recognition technology, the plastic bag for carrying the product becomes very important. The plastic bag in the prior art has poor permeability, is easy to wrinkle, and will reflect light in the visible light range, which will affect the product image. At the same time, the plastic bags produced in the prior art generally adopt the technology of laminating and cutting two pieces of plastic film. This kind of plastic bag will form a seam at the bottom, which will further block the goods and affect the image collection; on the other hand, the current The plastic bags in the technology have poor air permeability and are easy to stick to oil and dust. Some foods will generate water vapor on the inner surface of the plastic bag after being plastic-sealed in advance, or adhere to oil and dirt during the handling and finishing process, which will easily lead to food spoilage. Deterioration can also affect image acquisition