# Effect of Augmented Reality Support on Quality Inspection of Welded Structures
## 2 Related Work
AR is a suitable method to support inspectors in performing internal company tasks due to the following capabilities, as presented by [16; 55; 56; 57]:  
* Sharing and disseminating expertise;
* Providing training and incentives to make their work more effective;
* Reducing errors caused by lack of experience, distractions, or other constraints. From the available literature, it was found that there are prototypes in the early stages of development for augmented reality quality-inspection research. These applications have mostly been tested only under laboratory conditions. Despite the many potential benefits, AR tools that are ready for application are relatively unavailable on the market, and their real benefits in industrial production have not yet been demonstrated [58]. In the field of quality inspection, several systems and tools have been developed in recent years with AR support for many applications. For example, the available works address the following areas:  
* Remote monitoring and control of industrial robots [59];Support of quality inspectors in the approval of product samples [60];
* Support of assembly operations and subsequent inspection of assembled mechanical components [61];
* Assistance in machine maintenance and inspection by displaying historical and current data of the inspected machine or workplace [62; 63]. In the welding process, AR has been investigated as a tool to support the control of spot welding. The inspection was performed using a tablet mounted on a welding gun to display useful instructions for performing operations using AR [64]. Using AR projectors, virtual information was projected onto the metal parts of cars to highlight the location of the spot welding [65]. Other applications of AR technology for inspection activities include the inspection of reinforcement structures and the inspection of the correct positioning of tunnel segments [66; 67]. Inspection operations include the detection of manufacturing and assembly errors and design discrepancies between the final physical products and the conditions prescribed by the engineering and design department. As the complexity of the product being inspected increases, the difficulty of the inspection operation rises, which may lead to a reduction in the efficiency of the inspector or risk of error. The correct execution of complex welding operations has a significant impact on the correct functionality and performance of the product and any error must be detected before the product is released to the end customer. In such a case, the aspect of annotating and formalising the detected errors and then sharing the information with other teams or the engineering department is also crucial. The results of the research show that to adapt quality control to the needs of modern manufacturing, ICT plays a crucial role in the interaction between value-added manufacturing processes, monitoring systems, and control systems. Decision making, interdependence, and the seamless collaboration of quality control resources must be enabled to support compliance. Various studies have focused on investigating the development of ICT to ensure the integration of connectivity into quality control systems [68; 69]. Cloud computing is mainly used to achieve this. Making the quality control system accessible to all actors in the product life cycle can allow for greater transparency and enable adjustments based on new control system needs. In today's industrial environment, the pressure to produce parts ever faster and with better quality is evident. In general, inspection processes are becoming increasingly important. It must be ensured that these processes are carried out in the shortest possible time and the most efficient manner. Failure to detect defects in a product can lead to significant time and financial losses. Currently, the human factor plays a major role in inspection processes. Responsibility is mainly placed on specialists in inspection activities.