Computer vision systems are used in practically all types of industries. Its versatility means that these vision applications can be applied to sectors as diverse as automotive or pharmacy, among others, use it in order to improve production, improve the quality of their products and, also, reduce costs.
Computer vision systems act like human vision by using sensors to acquire data from the real world. Subsequently, they are processed and analyzed to obtain the desired results. In this way, applications can be developed for quality or safety control, and to solve identification and classification problems among many other options.
Adding computer vision to a process allows you to see and learn from it automatically, so this technology is a key point for the automation and digitization of processes.
Next, we tell you 7 reasons to incorporate vision systems for automation and digitization in a production plant.
100% inspection of production using computer vision systems
In many cases, manual inspection of 100% of production is difficult. In other cases, inspecting the entire production consumes a very high number of resources, which increases production costs. Computer vision systems allow 100% control of production without interfering with the process. In addition, the systems are implemented adapting to the current process and carry out the inspection of the key points.
Computer vision systems are a great ally of quality control and increase both the quality of the final product and the effectiveness of the process.
Increased efficiency through computer vision systems
The increase in efficiency is reflected thanks to the fact that the implantation and inspection of the production through an computer vision system is carried out without interfering in the production process.
These systems adapt to both the speed of the line and other characteristics of the process and allow inspections to be carried out at a much lower cost. In addition, they are able to work at 100% of their capacity throughout the work day.
Reduction of defects in finished product
The use of computervision systems causes an increase in the final quality of the products. By being able to carry out a 100% inspection of the production, defective products are identified before being sent to the customer. In the same way, this eliminates the costs generated by the shipment and subsequent handling of these defective products.
Increased consumer safety
Some industries such as pharmaceuticals or food are very sensitive to the quality of their products.
In these cases, errors in production can have consequences on the safety of the end user. The same is true, for example, with the automotive industry. Thanks to the vision system, errors can be practically reduced completely, which will increase the safety of the final product.
Ergonomic production and workstations using computer vision systems
Computer vision systems, sometimes combined with other technologies, such as augmented reality or collaborative robotics, make workstations more ergonomic for the operators who work on them.
These vision systems allow to corroborate, for example, manual mounting points and warn the operator that it is being done correctly if it is, and the same in the opposite case. This, together with the projection of information through an augmented reality system, improves the assembly process and makes it more comfortable and simple for the operator. In this project you can see an example of an AR system with computer vision.
They provide flexibility
Computer vision systems are flexible, they adapt to changes in production by learning from the process. The requirements can be modified so that a sample is identified as OK or NOK, and also, the system itself, can be changed from one place to another in the process to be used for another purpose.
On the other hand, the design and ad hoc development of a vision system can be adapted to the needs of each process, meeting all requirements and integrating both in the production process and in the production plant network. They are also capable of exchanging information with other machines in the process, favoring interconnectivity.
They provide a lot of information about the process
Today, information is a very precious commodity in all areas. Capturing and analyzing the information of a process allows to improve it and establish actions to prevent errors or detect them in advance. Computer vision systems obtain and analyze information in the form of images, which allows to have a visual record of all production, analyze it and improve both the process and the final product. They also make it possible to identify possible process improvements: parameters, materials, etc. that without this analysis it would not be possible.
As you have seen, computer vision brings many advantages. It helps in improving the quality of products and increases productivity. The data collected provides an opportunity to improve the process and reduce errors. In any case, computer vision is a key point for improvement in process automation.
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