Our applications embody all the knowledge we gained over the years in the fields of industry, management, organisational development and integration capabilities, which guarantee that the delivered solution is future proof. For the successful implementation, a comprehensive preliminary status report and an overview of the current processes are performed by us.
The applications can be used by companies at various stages of operations, from the beginning of the entire process to the end. Different levels of increased efficiency can be achieved in the different apps, determined by the particular area. While in the case of machine vision solutions the task can merely be to make a simple OK/NOK decision during visual inspection as quickly as possible; in the case of training support, we can examine not just the time, but also the quality of the learning process. And as for shopfloor monitoring, for example, fast and comprehensive control is the top priority.
Mixed Reality
Mixed reality is the merging of real and virtual worlds to produce new environments and visualizations, where physical and digital objects co-exist and interact in real time. Mixed reality does not exclusively take place in either the physical or virtual world, but is a hybrid of reality and virtual reality. Why Mixed Reality? AR solutions created for mobile devices are limited, as 3D perspectives and interactions are displayed in 2D. In the simulated space in VR, on the other hand, there are no interactions with our actual, real environment. In contrast, Mixed Reality allows the simultaneous display of virtual models and the physical environment, thereby immersing the user in the interactive experience.
To perform necessary tasks, our applications use reliable, real time data from various manufacturing processes. To retrieve these data, we are communicating with existing central systems, such as ERP, Shopfloor Control, MES or other relevant systems. The integration also prevents any inconsistencies or duplications in data.
Machine Vision
Machine vision-based systems were originally created to solve tasks beyond human perception, and to automate and model tasks related to human vision. Their use is ideal in situations where the inspection of the items to be examined with the human eye cannot be carried out efficiently: in the case of rapid counting of manufactured products, inspection of their size or quality, search for small defects or scanning of machine codes.
Neural Networks
Neural networks, borrowing the working principle of the nervous system, work with models that are not manually generated but trained. It is worthwhile to reach for this tool when the objects to be examined cannot be well described, so people with a lot of experience are needed to perform the task effectively. By using a sufficient amount of images (data), the system can be trained to draw quick and correct conclusions that do not require human intervention.