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 implemented in every sector. Every business is taking advantage of this technology to bring new innovations and also for customer satisfaction. Day by day, the AI market is going towards high demand and bring revolution.
Now new industries are developed i.e. Industry 4.0. While 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 that has been developed to bring automation to production processes.
Industry 4.0 completely change the manufacturing process. Industry 4.0 has
brought new innovations and altered the established relationship between
Machines and Workers. In the manufacturing processes, the use of Artificial
Intelligence is common along with Industry 4.0. These Industries are using
neural networks for solving many business problems such as sales predictions,
Customer research, and risk management.
The manufacturing industry is one of the most
complex but emerging and essential industry. Products Manufacturing is
expensive and a difficult process for companies that don’t have the right tools
and resources to improve the standard of production and enriched goods. The
manufacturing industry must depend 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 hit $ 320 billion, with a
compound annual growth rate of 12.5%. According to Allied Market
Research, the global Artificial Intelligence in Manufacturing Industry market
was $513 million in 2015 and is expected to hit $15,273 million by 2025, rising
at 55.2 % CAGR.
Now here we discuss about industry 4.0 that how AI
is redefining the manufacturing process:
Robots are well-known partners for
manufactures for doing smart work. AI robots enable humans to perform dangerous
and complex tasks in simple ways. Although autonomous robots are programmed to
perform one particular task repeatedly, robots are capable of learning from
various tasks. They can also recognize and avoid obstacles, and this
versatility and spatial knowledge help them to communicate with human workers.
Usually, manufacturers put robots to work on tasks that include heavy lifting
or on assembly lines in the factory. For example, KUKA Company uses AI robots
and BMW is one of its biggest customers and one of the organizations that have
already discovered that robots can reduce human error, boost performance and
maximize value across the entire supply chain.
Many routine tasks in the manufacturing industry
are automated with the help of Artificial Intelligence. Workflows are developed
to represent data points, generate reports, generate signal notifications,
position re-orders, reserve sections, review flag issues, update shipping
personnel, and schedules. Modern robots are working on every level, from the
processing of goods to the packaging of them. Even small manufacturing
industries are automating their works.
Product Development:
Obviously, the product development stage 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 needs to be taken into account in order to produce the best
results. Thus, Machine learning systems help to collect real-time data from
consumers, evaluate, and even find potential market opportunities. Both of
these end up with good products and innovative products from an established
catalog that can show the organization's new revenue streams. Some
manufacturers, as is the case with drug companies, turn to AI systems to assist
in faster product development.
Quality Control:
Artificial intelligence technologies are used in
order to perform quality management and product inspection activities.AI
powered computer vision algorithms can learn from product data automatically
and identify defects in the product. In addition, with over 90 % accuracy, AI
can also perform automatic quality control checks that can detect system faults
as compared to human inspections, and then there is the possibility of
improving the quality of the entire production process.
Package Inspection:
The most important production practises that should
not be neglected are testing products and quality control. Pharmaceutical
companies have difficulty counting capsules in containers before packaging items.
A business based in England has discovered a solution to this problem. A
computer vision-based inspection system has been introduced to measure the
number of tablets going into a bottle at the end of manufacturing.
24/7 Manufacturing process:
The demand for goods will increase as the
population increases in most parts of the world. Manufacturing plants and
factories are looking at robotics to increase their production capability and
production time in order to supply the equipment for this enormous demand.
While worker tiredness, lack of enthusiasm, overwork, and subject to union
rules, there are none of these problems for robots. The standard of their work
is certainly affected when human beings do so much work. This places them in
critical conditions and causes the manufacturing organization's owners to lose
revenue.
Handle Raw Materials:
A manufacturing industries can deal with the
handling of chemicals and hazardous substances. This clearly puts workers at
risk, raises the risk that important human lives can be lost and opens up the
prospect of litigation. This is where robots, filling risky positions for
humans.
Without endangering humans, robots can handle
radioactive materials, toxic chemicals and many other things easily. You can
register programmes with the use of robotics to ensure correct management
without any risks due to human error. You will face mechanical repair instead
of serious injury if the worst happens.
Improve Efficiency:
Robotic technology is amazingly helpful in
improving the quality of the production process of the product. As robotic
systems are very fast, they can do a lot of things at high speeds. We can do
more tasks in less time with the help of robots. Therefore, production
processes are obtaining tremendous benefits from them. The use of robotics is a
way of improving the whole manufacturing sector's economy.
3D Vision Inspection:
3D machine vision systems typically have
multiple laser displacement sensors or cameras. Two or more cameras are
installed at different locations with multiple camera 3D vision systems to
provide orientation data to the robot.To identify very tiny connector pins, a
computer vision inspection device was located on the assembly line. The
positioning of these small pins is very hard for manual inspectors. If the
faulty connector pin goes through the manufacturing cycle, it notifies the
manufacturer of the disaster.
Conclusion
So
Everywhere we can see that Artificial Intelligence is creating its space and
without AI, we can do nothing. In manufacturing industry, AI makes every tasks
easier and efficient without any changes in quality. That’s why large number of
enterprises are implementing AI and enhancing its production.
Also Read: How Artificial Intelligence is a game-changer in educational institutes or academics
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