## 4 The Results
### Design of Applications Supporting a DG Operator  
On the basis of the detailed analysis of the DGA process carried out by DG operators, there have been defined areas in which IT solutions based on the AR technology could support a DG operator when accepting a DG shipment. The area covers the following elements:  
1. The presentation of the detailed shipment data declared by a shipper in AWB or a shipper's declaration for DG materials (e.g., UN number, technical name of DG material, countries where the shipment is serviced during the whole route, etc.). 2. The presentation of law regulations resulting from the declared data of the shipment (e.g., weight limits for the consignment type and/or aircraft type chosen by the shipper, the number of the correct packaging instruction and its details, the current version of graphical pictograms that must be clearly visible on a shipment cover, etc.). 3. The automatic comparison of shipment parameters (e.g., net weight/quantity) with acceptable limits determined by law rules (with limits defined in the IATA DGRs). 4. The presentation of a correct DG acceptance list (chosen from all available lists) while considering shipment details. 5. The personal filling out the acceptance list in its electronic form and/or automatic filling out of an automatically verified checkbox. 6. The automatic identification of graphical labels visible on the shipment cover and comparing them with the set of expected/required labels. 7. The indication of graphical labels which 1. are recognized and correct; 2. are identified and incorrect (e.g., damaged) and/or irrelevant; 3. are unidentified; 4. are missed even if they should be on the cover. 8. The automatic comparison of the text printed on the shipment cover with the text required and declared by the shipper (e.g., if there are no letter mistakes, if all required text elements are present on the cover). 9. The indication of texts which are: 1. identified and incorrect (e.g., damaged) and/or irrelevant; 2. unidentified; 3. are missed even if they should be on the cover. The list of areas in which a DG operator could be supported by the IT solution combined with the AR technology has been followed by the design of an application in which the planned functions have been implemented. The analysis let us identify possible methods of data presentation for a DG operator using AR solutions (Table 2). To support the operator in areas 3-5, the decision algorithms, whose example is depicted in Figure 3, reflecting the IATA DGRs, were implemented into the IT form. The support in areas 8-9 was designed with the use of OCR algorithms, while the support of areas 6-7 required the development of a quite new solution--the automatic programme recognizing graphical pictograms used in the transport of DG materials. As the result, the new software responsible for text and symbols recognition has been developed in the project using the Tesseract 4.0 tool for text reading while the machine learning algorithm YOLOv8 is utilized for pictogram recognition. Apart from the above analysis, areas which seem to be very difficult to support by IT and AR solutions have also been identified. The function of comparing the shipment data presented in the paper documents with the data printed on the shipment outer packaging can be given as the example. This is because most shipper declarations for DG materials in the airport, in which the research was conducted, are filled out by hand. Examples of the proposed approach are shown in Fig. 10.