If you like to keep up with the latest technology that you can apply to your factory, the term machine learning will surely not be strange to you. You will have heard about this concept repeatedly and perhaps you already know its most basic principles.
In this post we will show you what are the facets of your company where it is really profitable and how to achieve industrial automation.
What is machine learning
When talking about machine learning, reference is made to a sector of artificial intelligence that can work through the management of some algorithms that operate with the data recently received by the machine.
In this sense, it can be ensured that the system can learn without requiring programming. In this way, it is able to recognize patterns and draw conclusions on its own, producing the industrial automation.
Some applications of machine learning in industry 4.0
The applications that machine learning technology has in industry 4.0 are varied. Among the most outstanding applications of this industrial automation The following are found:
Predictive type maintenance
The predictive capacity provided by machine learning influences the programming of maintenance procedures on machines.
It is extraordinary to know in advance which equipment is more likely to fail, which is possible through machine learning generated by predictive maintenance.
Through this system, it is possible to anticipate the creation of repair protocols that prevent the machine from being totally damaged, which can translate into economic losses.
Artificial vision techniques
The technology that couples machine learning algorithms with the different images received by a camera can be called computer vision or artificial vision.
In this way, the algorithms process the different images received and derive value from them, multiplying the speed and reliability of said visual analysis, thereby eliminating some human factors such as exhaustion and other biases.
Quality Control
Quality control in raw materials, intermediate and processed products has been evolving thanks to the contribution of machine learning.
One of the main uses of the artificial vision techniques mentioned above is the determination of the quality of the various resources that the production line possesses. An example is that with the application of computer vision it is easier to identify some defects that the human eye cannot perceive.
But there are also variables that can be measured with sensors, such as pressure, temperature, vibration, among other data that are continuously collected and processed.
Some benefits of machine learning technology in the industry
Among the main advantages that companies that apply machine learning can enjoy are the following:
- A higher level in planning to act and correct in time.
- Thanks to machine learning, industries will know how prepared they are to solve situations that may arise.
- Another advantage is that they can know in detail the tastes of customers to offer products that fit what they are looking for. It facilitates the automation of the different processes, making human resources available for other valuable tasks.
The implementation of machine learning in the industry is possible thanks to the engineering company in Seville, which is dedicated to industrial automation offering innovative technology solutions.