The assembly lines of fabric manufacturing companies have changed their appearance due to AI
“By 2025, 70% of manufacturing enterprises above designated size will be basically digitalized and networked, and more than 500 intelligent manufacturing demonstration factories will be built to lead the development of the industry. . The production efficiency, product yield rate, energy resource utilization rate, etc. of manufacturing enterprises have been significantly improved, and the maturity level of intelligent manufacturing capabilities has been significantly improved.” Not long ago, eight departments including the Ministry of Industry and Information Technology and the National Development and Reform Commission released the “14th Five-Year Plan” for Intelligent Manufacturing Development Plan”, which proposes measures to promote digital transformation, network collaboration, and intelligent transformation in the manufacturing industry.
As the main direction of building a manufacturing power, accelerating the development of intelligent manufacturing plays an important role in consolidating the foundation of the real economy, building a modern industrial system, and realizing new industrialization. Currently, the development of smart manufacturing in my country has shifted from the popularization of concepts and pilot demonstrations to a new stage of system innovation and deepened application. However, compared with the requirements for highquality development in the manufacturing industry, there are still many problems such as high threshold for intelligence and weak innovation capabilities.
There is an urgent need for digital transformation in the traditional manufacturing industry
“Intelligence is just a means and a tool. No matter how advanced intelligence is, it needs to be integrated into manufacturing entities to be effective. Otherwise, intelligence will only be a castle in the air.” According to Li Peigen, director of the National Intelligent Manufacturing Expert Committee and academician of the Chinese Academy of Engineering, the development of intelligence Manufacturing must be based on manufacturing, and manufacturing must be based on advanced technology and equipment.
Since the “Thirteenth Five-Year Plan“, China’s intelligent manufacturing development has made great progress. The market satisfaction rate of intelligent manufacturing equipment exceeds 50%; traditional industries have gained new vitality, and the proportion of investment in technological transformation in industrial investment has increased to 47.1%. However, as users’ personalized needs increase day by day and brand competition becomes more intense, uncertainty has increased significantly. For traditional manufacturing companies, accelerating digital transformation has become an urgent issue.
In the process of promoting the intelligent transformation of the manufacturing industry, the integration of new generation information technologies such as AI has brought new opportunities. Manufacturing companies use increasingly mature AI technology to reduce costs and increase efficiency based on specific business scenarios, and achieve short-term verification and application of AI models. This is not only a step towards intelligenttransformation and upgrading font>The first step has also become one of the keys to entering the smart economy track and enjoying the dividends of AI.
For example, in industrial manufacturing companies, the quality inspection link accounts for about 40% of the factory’s labor costs, and the quality inspection rate directly affects the company’s order growth. At present, relevant companies have taken the lead in trying to seek AI technology for quality inspection transformation. However, due to the lack of relevant talent and technology accumulation, the results have been unsatisfactory.
In addition, in the safety supervision process, many companies hope to improve their automated supervision capabilities by combining AI technology, but have not yet implemented it due to factors such as high customization difficulty and high deployment costs.
For many manufacturing companies, common problems such as high accuracy requirements for AI models, large amounts of data required, and lack of experienced professionals have hindered their ability to leverage AI to achieve intelligent transformation.
How can enterprises enter the first door of intelligent upgrade by lowering the threshold?
Seeking cooperation with companies that have leading AI technology capabilities and are open source may be the way to break the situation.
As a high-tech enterprise that provides solution design, system integration and other services to manufacturing companies, Zhuhai Huachuang Intelligent Technology Co., Ltd. (hereinafter referred to as “Huachuang Intelligent”) is well aware of the pain points of quality inspection. During the inspection of solutions, they found that many technology manufacturers had high customization costs and it was difficult for the technology to meet expectations. By chance, Huachuang Intelligence learned that Baidu Feipiao Easy-DL zero-threshold AI development platform provides automated modeling of multiple business scenarios and allows application developers without algorithm foundation to successfully complete model training.
In the absence of professional AI algorithm engineers, Huachuang Intelligent took the mentality of giving it a try and used EasyDL to annotate and automatically train the model on the real data collected on the quality inspection pipeline. After efficient model iteration, the final accurate The high-quality AI model with an accuracy of up to 99% is seamlessly integrated into third-party systems to realize real-time detection of assembly line product accessories.
After taking the “reassurance”, Huachuang Intelligent helped the gas stove manufacturer create an assembly line accessories identification management system through Easy-DL, completing the closed-loop judgment of all assembly line products, which can work 24 hours a day without interruption and complete all inspections. For quality inspection of product accessories, work efficiency is increased by 30%, and product quality inspection quality is increased by 80%.
In addition to production quality inspection, EasyDL has also been deeply involved in a series of scenarios such as sorting and packaging of manufacturing items, process optimization, and equipment maintenance, helping to reduce costs and increase efficiency while expanding business possibilities.
When Jiangxi RuiShi Intelligent Equipment Co., Ltd. (hereinafter referred to as “RuiShi Intelligent”) investigated traditional textile enterprises, it was found that manual search for fabrics was slow and inaccurate, and fabric inspection was also inefficient due to inconsistent standards. . There are many kinds of fabrics and they are constantly increasing. Every detail will be different. The company has tried some technical solutions.After the solution, it was still unable to solve the problems such as slow model training speed and poor fabric quality inspection.
Under the recommendation of peers, RuiShi Intelligent first imported fabric pictures, created hundreds of fabric labels, and trained a fabric recognition model through the EasyDL platform. Unexpectedly, the training speed was greatly improved, and new types of fabric pictures were continuously introduced. It can also iterate quickly and maintain an accuracy of over 99%. With confidence, RuiShi Intelligent developed a complete intelligent system based on EasyDL. With just one click to take a photo and upload it, you can obtain the different specifications, names, weight and other information corresponding to the fabric; at the same time, it can also accurately detect and mark the number of fabric defects. Out of position, the industry chain participants and fabric testing information are circulated on the system in the form of “pictures and text”, making the evaluation fair and communication efficient. “Easy to use, fast model training, and the ability to train a model with good results even with a small amount of data are the three major features of EasyDL.”
Digital transformation of the manufacturing industry is a “compulsory course” related to survival and development. Flying Paddle EasyDL not only helps manufacturing companies take the first step in the absence of AI technology and experience, but also solves the current problem of an accessory, a piece of fabric or a production line; in the long run, the application of the technology behind it is essentially It is the continuous exploration of many industrial enterprises from extensive production to intensive farming, further focusing on the main business, strengthening innovation, and gradually extending to the entire industry chain. Intelligent upgrades will have a great impact on improving the quality and efficiency of the entire industry.
As our country’s economy enters a critical stage of high-quality development, and in the transition stage from product output to software and hardware output, the new generation of technology represented by AI has gradually become one of the core driving forces for industrial transformation, with the world’s leading AI technology Baidu and other companies are bringing new historic opportunities to China’s manufacturing industry.
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