Over the last few years, artificial intelligence has become a huge part of the manufacturing industry MarketsandMarkets have stated that AI in the manufacturing market is predicted to reach USD 16.7 billion by 2026.
What is driving the market increase?
Many different factors are driving the market increase. A few of the key areas include the development of industrial automation and IoT, big data, and advanced computer tech.
Industrial automation refers to using control systems, such as robotics or computers, that handle machinery and processes. The design of these automation procedures speeds up efficiency and reduces the risk of human error.
How it is in use for manufacturing
Performing quality checks
AI currently performs quality checks in factories. When in combination with high-res cameras and machine vision, AI can detect errors that humans might miss. Machine vision has been in use for several years in manufacturing processes. However, artificial intelligence can further enhance this technology.
According to Anatoli Gorchet, “Rather than having the machine vision system rely on the rules created by an expert, the AI-powered software can learn which aspects are important on its own and create rules that determine the combinations of features that define quality products.” This came from a quote taken at Automation World 2020.
Enhanced design work
With the help of AI and machine learning, product designers can quickly draw up thousands of potential designs. Designers can then check which algorithms are the most effective and valuable. AI tools can help to save time within the product design process. It can be useful to improve the design and consequently the performance of certain products. However, machine learning and AI aren’t so useful when it comes to aesthetic design work.
AI industrial robotics can support the manufacturing industry in many different ways. Robots can support automation and boost productivity. Programming will allow robots to automatically respond to any emergency situation. These machines can make more accurate decisions when compared to human staff members. With the use of AI, robotics companies can reduce the number of accidents in the workplace. From automation to improved safety and productivity, there are plenty of ways that robotics can enhance the manufacturing sector.
According to the World Economic Forum, ‘Industrial waste makes up at least 50% of global waste.’ Waste often occurs due to the production of low-quality products that cannot be used. By using this technology, manufacturing companies can improve efficiency, and create less waste. Artificial intelligence can make complex decisions on a mass scale. Factories can use this to decide when they should produce products, how many to create, and how to reduce quality problems.
As tech develops, further AI can support a growing number of processes. The manufacturing sector has many options to use artificial intelligence. It’s not just useful in the manufacturing sector, there are so many different applications of AI in business.