Improving quality control during production processes by means of artificial vision

All industries are different, but they all have one thing in common; they require quality control in their production processes. Artificial vision is key to guaranteeing a high-quality, error-free product that complies with the appropriate standards.

What do the pharmaceutical and car industries have in common? At first glance, very little. However, the fact is that behind each and every industry and the individual success of the companies that form part of it is a common link, namely excellent quality control in the production process. This can often only be achieved by advanced artificial vision systems.

These advanced quality control systems based on artificial vision ensure that the products comply with the standards in each sector. 

Improved production systems and fewer product defects and errors will enhance the company’s image in the eyes of its current and potential customers. 

This will mean a win-win situation for the company and the customer, with efficient production leading to safe, high-quality products.

What is quality control in production processes? 

Quality control involves an inspection that takes place during production to ensure that the resulting product meets certain requirements or complies with certain standards.

The factors that may be inspected during a quality control include:

• A component’s colour
• Metrology errors
• The amount of a substance in a given container (e.g. the level up to which a bottle is filled)
• The correct covering of a container to check that it is properly sealed
• The detection of foreign bodies
• Defects that may have occurred during the assembly or disassembly of a component (scratches, deformations, wear, broken parts, etc.)

Any error on the production lines can lead to serious consequences. For example, in the case of the pharmaceutical sector, adequate control is vital to ensuring that the medicine is in perfect condition for human consumption.

What is the ISO 9001 standard?

The ISO 9001 standard establishes requirements for the control of production processes, regardless of the company’s sector. It is an international standard implemented by the International Organisation for standardization (ISO). 

The aim of the ISO 9001 standard is to ensure that companies optimise their quality control processes. Thus, if a company obtains the ISO 9001 certificate, this means that it has met certain quality standards.

Benefits of implementing quality control in production processes based on artificial vision

• It is an improvement on the effectiveness of any other quality control methodology based on human or manual supervision.
• It is profitable; failure to apply quality control to a product may mean that the production has to be repeated because errors have occurred. Quality control is an investment in the present and the future.
• The company’s image is enhanced in the eyes of customers, organisations and institutions. The customers’ loyalty increases and there are fewer complaints and claims.
• A business culture based on continuous improvement is achieved. 

How to implement a quality control system for production processes

At AIS Vision Systems, we can help you to implement an end-to-end quality control system for your production processes.

Evaluation

If you already have a production line in operation, it is better to conduct an audit first to determine what is being done and decide on the improvements to be made. The artificial vision systems that need to be installed will be evaluated.

Implementation of the systems

The next step involves taking action. In other words, applying the quality control systems to the production processes.

Training

We train the personnel responsible for the new systems that are deployed to ensure that they have full autonomy.

Monitoring

We will be there whenever you need us to implement new systems if necessary or to resolve any queries about the solutions that have already been applied.

Do you need a quality control system for your production processes? Contact us.