Today, if we talk about the most emerging technology, then the first thing that comes to mind is Artificial Intelligence. AI is known for its latest technology and it is applied in every field. Every business is taking advantage of this technology to bring new innovations and also for customer satisfaction. Day by day AI market is moving towards high demand and is revolutionizing.
Now new industries are developing i.e. Industry 4.0. Whereas before we talk about Industry 4.0, first we will know what is Industry 4.0? Industry 4.0 is the latest industrial digital technology developed to bring automation to production processes. Industry 4.0 completely changes the manufacturing process. Industry 4.0 has brought new innovations and changed the established relationship between machines and workers. In manufacturing processes, the use of Artificial Intelligence is common alongside Industry 4.0. These industries are using neural networks to solve many business problems such as sales prediction, customer research and risk management.
Manufacturing industry is one of the most complex but emerging and essential industries. Product manufacturing is costly and a difficult process for companies that do not have the right equipment and resources to improve the standard of production and enrich goods. The manufacturing industry must rely on technology and automation to operate the machines and produce the resulting high quality goods. By 2021, the company estimates that the smart manufacturing market will reach $320 billion with a compound annual growth rate of 12.5%. According to Allied Market Research, the global artificial intelligence in the manufacturing industry market was $513 million in 2015 and is expected to reach $15,273 million by 2025, growing at a CAGR of 55.2%.
Now here we discuss about Industry 4.0, how AI is redefining the manufacturing process:
Robot:
Robots are well-known partners for manufacturers to work smart. AI robots enable humans to perform dangerous and complex tasks in a simple way. Although autonomous robots are programmed to perform a particular task over and over again, robots are capable of learning from different tasks. They can also recognize and avoid obstacles, and this versatility and spatial knowledge helps them communicate with human workers. Typically, manufacturers employ robots to perform tasks that involve heavy lifting in a factory or on an assembly line. For example, the Kuka company uses AI robots and BMW is one of its biggest customers and is one of the organizations that has already discovered that robots can reduce human error, increase performance. and can maximize value across the entire supply chain.
Automation:
Many routine tasks in the manufacturing industry are automated with the help of artificial intelligence. Workflows have been developed to represent data points, generate reports, generate signal notifications, re-order status, reserve sections, review flag issues, update shipping personnel, and create schedules. From the processing of goods to its packaging, modern robots are working at every level. Even small manufacturing industries are automating their operations.
product development:
Obviously, the product development phase is the most commonly known application of machine learning. The planning and design process of new goods and the development of existing products are related to the knowledge that must be taken into account to produce the best results. Thus, machine learning systems help in collecting real-time data from consumers, evaluating and even spotting potential market opportunities. Both of these end up with good products from an established catalog and innovative products that can show off the new revenue streams of the organization. Some manufacturers, as is the case with pharmaceutical companies, increasingly turn to AI systems to aid in product development.
quality control:
Artificial intelligence technologies are used to perform quality management and product inspection activities. AI powered computer vision algorithms can automatically learn from product data and identify defects in the product. In addition, with over 90% accuracy, AI can also perform automated quality control checks that detect system defects better than human inspection, and then have the potential to improve the quality of the entire production process.
Package Inspection:
The most important production practices that should not be neglected are product testing and quality control. Pharmaceutical companies have difficulty counting capsules in containers before packaging items. A business based in England has found a solution to this problem. A computer vision-based inspection system has been introduced to measure the number of pills that go into a bottle at the end of manufacturing.
24/7 manufacturing process:
In most parts of the world, the demand for goods will increase as population increases. Manufacturing plants and factories are looking to robotics to increase their production capacity and production time to supply equipment for this huge demand. While subject to worker fatigue, lack of enthusiasm, overwork and union rules, none of these are problems for robots. When a man does so much work, his level of work is definitely affected. This places them in dire circumstances and causes the owners of the construction organization to lose revenue.
Handle raw material:
A manufacturing industry may deal with chemicals and hazardous substances. This clearly puts workers at risk, raises the risk that important human lives could be lost and opens up the possibility of litigation. This is where robots fill positions that are riskier for humans.
Robots can easily handle radioactive materials, toxic chemicals and many other things without endangering humans. You can register programs with the use of robotics to ensure proper management without any risk due to human error. Worst case scenario you will be facing mechanical repair rather than serious injury.
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