Artificial intelligence-based waste plastic bottle sorting method

Abstract

The invention provides an artificial intelligence-based waste plastic bottle sorting method. The artificial intelligence-based waste plastic bottle sorting method comprises the steps that 1S, pretreated bottles are spread on a conveying unit to be conveyed into a detection unit; 2S the waste plastic bottles on the detection unit are visually photographed through camera imaging by a visual detection module in the detection unit to acquire primary position information, shape information and color information, and the visual detection module finally sends color data, shape data and positional coordinate data to a system control unit through data processing; and 3S, a material detection module in the detection unit determines the materials of the waste plastic bottles at different coordinatesthrough an infrared detection method and sends material data, the shape data and the positional coordinate data to the system control unit. The artificial intelligence-based waste plastic bottle sorting method has the advantages that the acquired data are analyzed through neural network deep learning, so that the situation that parameters are changed due to shape problems of the plastic bottles, and consequentially, normal operation of the sorting system is affected is effectively avoided, and the sorting accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of waste recycling, in particular to an artificial intelligence sorting method for waste plastic bottles. Background technique [0002] With the development of industry, the application of plastic products has spread all over the fields of industry, agriculture and daily life. The waste plastic waste generated every day in the world cannot be estimated, but it is obvious that it has a great pressure on the environment. In order to deal with these plastics Garbage, the current method is generally landfill, incineration and so on. However, due to the long natural degradation time of ordinary plastic waste, which generally takes a hundred years to degrade, and a large amount of methane and other harmful substances will be produced during the degradation process, the landfill method has been criticized by many experts; while the incineration method produces Harmful gases, smoke, etc. directly affect the environ...

AI Technical Summary

Problems solved by technology

For the recycling of these waste plastic bottles, it needs to be crushed, cleaned, and separated from impurities, etc. The traditional recycling process and recycling equipment are not high in technology, the recycling cost is high, and the cost performance of recycling is not ideal.

Due to the various colors of discarded plastic bottles, the various colors cannot be distinguished after being crushed. However, in the traditional process, these raw materials are processed with a mixture of multiple colors, which easily leads to low quality of finished products. inconsistent color

[0004] Patent document CN 206854143U discloses a plastic bottle color sorting and recycling device. Its camera imaging technology recognizes the color of plastic bottles and then sorts them. However, before the bottles enter the recycling and sorting, they have experienced various natural Environment, and after passing through the compressed bottle bricks, its physical shape has changed a lot, so after entering the conveyor belt, the state of the bottles passing through the detection equipment is varied, and the information read by the visual system is also constantly changing. The deviation of color recognition leads to errors in the sorting system, which makes the current sorting system less practical

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