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For the quality control of fiberglass cloth, machine vision has become the source of power

The horse and cart will not be defeated by a faster horse and cart, but by a faster means of transportation, which is the inevitable result of the scientific and technological revolution.With the constant change of technology progress, the advantages of machine vision detection compared with the traditional artificial increasingly apparent, with its characteristics of high precision, fast processing speed compensates for the exist in the process of artificial testing miss rate high, easily influenced by subjective factors, such as faults, drastically increased the production efficiency and product quality, also used in more and more areas.

Dewaxing Fiberglass Fabric

Glass fiber cloth by high temperature melting system, wire drawing, winding, weaving technology, such as its monofilament diameter of a few microns to over 20 microns, the equivalent of a human hair 1/20-1/5, each bundle fiber original SiDou is composed of hundreds or even thousands of root monofilament, commonly used as the reinforcing material in compound material used in wall enhanced, exterior wall insulation, roof waterproofing, etc.

 And in the market, the quality of glass fiber cloth directly determines its grade and price, its surface defects often lead to cloth price drop 45% to 60%, serious loss of economic benefits of enterprises. Therefore, relying on machine vision and deep learning, Guochen Robot has launched a glass fiber cloth visual inspection system for defect detection, which realizes automatic real-time detection of surface defects of fiberglass cloth, and has outstanding performance in accuracy, efficiency, noise resistance, stability and other aspects.
Acrylic Coated Fiberglass Fabric
For example, in the production workshop of a leading enterprise in the domestic glass fiber industry, the machines are roaring and dozens of equipment are running at a high speed. In the face of the rapid operation speed of production equipment, the human eye often cannot accurately judge, and many defects become the fish that slips through the net. In addition, advanced algorithms such as deep learning can be used to identify defects similar to but not identical to the training samples through the training of defect models. This implementation process will not change with the change of application scenarios, which means that the learning cost of project implementation personnel and equipment maintenance personnel can be significantly reduced.

The development of machine vision technology so far, although there is no lack of foreign advanced equipment, but the increasingly complicated international situation and the high import costs involved, high operation and maintenance costs, and the goal of reducing cost and increasing efficiency of enterprises, therefore, it is of great significance to have a visual inspection system suitable for our domestic enterprises. Guochen has a deep understanding of the most simple essential law of this industry, and combined with the actual situation of different enterprises, to provide “symptomatic” solutions, accelerate the application of visual inspection system, but also for enterprises to bring the quantity and quality of synchronous improvement.

Post time: Sep-23-2022
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