How does artificial vision help in process optimization?

Every activity and production process can be improved if the introduction of industrial automation and the commitment to intelligent and collaborative technology are kept in mind. And this improvement of the processes optimization can make a difference in the level of productivity and competitiveness when the system improvements are oriented to the quality control processes and the analysis of the results obtained in each phase.

Process Optimization – the challenge of industrial automation

Improving processes, shortening times, reducing costs and improving the quality of the final product are the objectives – and in some cases challenges – for which the agents at the head of the various industries decide to bet on industrial automation.

At this operational level, process optimization is understood as a detailed and detailed analysis of the activities and production phases that can be improved or that cause some kind of problem in the global chain.

industrial automation
Industrial Automation Image Credit istockmarket

It is also the most effective methodology for detecting inefficiencies in workflows and process integration, which ends up being a major obstacle that weighs down production in general and directly affects decision-making and the final value of the product.

In several of these goals to achieve business process optimization, computer vision systems can be essential for specific activities related to quality control, or the supervision of phases and the effectiveness of their results.

How to optimize existing processes

Starting a successful process optimization process involves spending time and resources to properly understand each of those processes, their current state, and the data they yield. For this activity, having industrial analysts and consultants can be key to settling the improvement phases well.

Therefore, together with the technology and vision systems that can bring improvements to the industry, the specialist role in this study of the situation is also gaining more relevance in the organizational chart of industrial companies.

With a report that provides a global vision of all the causes that produce failures, delays or hinder the activity, it is time to start a strategic optimization process, introducing the technology and knowledge necessary to take a qualitative leap in industrial automation.

Execution mode

As this optimization system makes clear, the process begins at the internal level and is always focused on achieving an improvement in productivity through a better system and execution of quality controls.

In general, these would be the key steps to achieve process optimization, counting on the idea of ​​introducing artificial vision systems focused on quality control tasks:

  • Identification of all processes
  • Mapping and analytics of each process
  • Model and execution of processes

Automation of processes, step or key to implementing state-of-the-art and highly effective solutions. This process, which involves introducing technology and intelligent systems such as artificial vision, will be completely successful when carried out with the involvement of all the necessary agents and templates and they are involved in decision-making and the detection of solutions.

Counting on a redesign of the process and the necessary resources to make this version more optimal. It is time to start implementing the necessary changes and, especially at the beginning, keep an exhaustive control of these implementations to facilitate the adaptation of employees and supply the necessary gaps, such as training, new skills or understanding of the information obtained from data processing.

What are the advantages of having an artificial vision in the best of quality controls?

If the improvement of quality controls is the cornerstone to optimize each process, the logical thing will be to bet on technology and automated systems that allow such improvements.

With this goal in mind, Infimum is specialized in the design of artificial vision and image analysis solutions in industrial environments to meet the emerging needs of an increasingly competitive and flexible industry.

  • It  allows companies focused on process optimization to achieve:
  • A total inspection process of production, without random sampling.
  • Repeatability of quality control processes following pre-established parameters.
  • Consistency in the results, avoiding subjective evaluations.

Cost reduction, since the delay in final deliveries to the customer, is avoided and incidents may arise due to defective products. Therefore, returns, stock problems or modifications of the production phases that generate high added costs are avoided.

In general, investing on optimizing industrial processes and quality control systems provides a tangible and intangible value necessary for the industrial sector to be able to compete strongly in a global, saturated and highly changing environment.

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