How do machine vision systems work?
The camera captures the image of the scanned object, the image analysis system evaluates it according to a precisely defined algorithm and performs the required action based on the evaluation result. Today, the only effective and practically possible way to evaluate image information is a computer. It is typical for machine vision that the exchange of information obtained with the environment takes place on the basis of feedback with the production process. On the one hand, we obtain the input information. On the other hand, various actions perform based on the results of image analysis. Such as discarding an unsuitable or poorly manufactured product, accuracy when filling bottles, checking the presence of labels, and more. The information about the fulfillment of the required action goes directly to the device via digital inputs. The information pass to the control system, which already performs the necessary intervention.
A few years ago, machine vision systems had a reputation for complex, expensive and unreliable technologies. With the development and development in the field of image sensors and especially the performance of today’s processors, it brought the possibilities of machine vision closer to the requirements of users. Nowadays, more and more emphasis place on the quality of each piece produced. Failure of the human factor cannot be ruled out, whereas machine vision systems can operate 24 hours a day. In most cases, image analysis systems thus become the best and only possible solution.