Dinasoft Articles

Intelligent monitoring systems for production lines are technologies that automatically monitor and analyze the performance and condition of equipment and production processes. These systems use sensors, Internet of Things (IoT), artificial intelligence (AI) and big data to collect and process information.

Artificial intelligence (AI) has become one of the key tools in improving the performance of production lines with the ability to analyze a huge amount of data and learn different patterns. In this article, some of the main roles and effects of artificial intelligence in this field are explained in more detail.

Image processing is one of the effective and advanced tools in testing the quality of the final product of factories, which can be used to automatically and accurately evaluate the manufactured products. In this process, images or videos of the product are captured by high-precision cameras and then analyzed using image processing algorithms.

Machine vision is a branch of artificial intelligence and computer engineering that allows systems to see and understand their surroundings using cameras and image sensors. The main purpose of machine vision is to process and analyze images to extract useful information. .

Optimizing and increasing productivity in factories is one of the most important goals that every manufacturing organization pursues. These concepts include improving the overall performance of production processes, reducing costs, increasing product quality, and maximizing the use of available resources.