Total Quality Management Through Artificial Vision

The management of total quality is a fundamental concept in all areas of a company, since it is responsible for analyzing the good quality of what is offered in the business and ensures the good work of the organization. Artificial vision will strengthen its reliability and usefulness.

What is total quality management?

Quality is a term that refers to the value of the characteristics of something, be it a product or a service. Therefore, the management of the same in a company is very important, since it is the process through which the procedures carried out in a business are evaluated, as well as the services or products that it provides. Similarly, within any entity, quality management will also ensure that both the organization and the products it offers are 100% consistent.

To carry out this management successfully, we must look at four main points:

  • Quality Control
  • Assurance
  • Develop a quality plan
  • Continuous improvement

When talking about quality management within a company, beyond the quality itself that presents the product or service, or even the degree of satisfaction that customers have, we are referring to the means used to obtain a quality of service. first in all these aspects. To achieve the objective, the management is responsible for controlling all the processes executed to reach the desired quality. With all this, the final quality will be much more consistent provided that the management has been carried out correctly.

Quality management applied through artificial vision

Artificial vision is a technology that can be used to carry out quality control processes. Thanks to the use of artificial vision, we can obtain greater productivity and be much more efficient. It is very necessary for the production process to have that added efficiency and allows both to streamline processes and optimize them. Therefore, artificial vision makes companies more competitive and have better results.

Nowadays, artificial vision systems are used more frequently in all types of industries, since not only will they help us control quality, they can also provide relevant information to improve manufacturing processes. In all the production phases that can occur in a company, there is an artificial vision system that facilitates this work. Without going any further, we find this type of systems in the control of entry of all goods or in relation to the reading of the license plates of the means of transport.

Thanks to artificial vision systems, we can detect errors in the production process or analyze the precision with which a product has been manufactured. In addition, we must bear in mind that artificial vision systems are in operation every day of the year, 24 hours, so they offer us information in real time. For all these things, we can say that the artificial vision is an indispensable technology in what is known today as Industry 4.0, since it gives us a large number of advantages such as the case of quality control, also increasing a greater security.


Knowing all that entails artificial vision, we must know how this technology is applied in the industry, taking advantage of tasks such as:

  • Positioning: in this case the artificial vision is used to carry out inspection operations, mainly when managing large production chains.
  • Verification: this technology validates the goods or parts to ensure that the quality level is appropriate.
  • Identification: artificial vision is used to read characters or decode bar codes.
  • Find defects or errors: some common defects are discoloration, cracks, small marks which through artificial vision is much easier to detect them.
  • Measurement: with the artificial vision you can know with greater precision the measurements of the product.

Given this, we can conclude without any doubt that to achieve absolute quality in any type of business it is important to squeeze the different possibilities of artificial vision and what it entails in relation to its application in different phases of daily work.


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