The project aims to develop a fully functional mobile system for determining the characteristic geometric dimensions of precision forgings using modern vision and machine learning techniques. The designed approach is based on a mobile measurement system that will allow reproducible image capture of the forgings from different perspectives on a specially prepared calibration table. The project will analyze different variants of camera placement, lighting, and various approaches to designing and 3d printing calibration tables. The acquired images will then be transferred to a specially designed database for further processing steps using the IIoT (Industrial Internet of Things) approach. A detailed analysis of the images will be carried out, including the required depth corrections using computational geometry methods. The accuracy of the image processing solution will be further enhanced by using advanced models based on machine learning. Equipping the workstation with a robotic arm will allow for a quick delivery of the forging products to the system's work zone and then for an efficient and accurate determination of their dimensions. The designed measuring system will also be equipped with a dedicated, user-friendly application, through which the operator can supervise the dimensioning process, check how many products from a given batch have failed quality control, or generate reports with technical drawings that contain all key dimensions of the analyzed products. This type of tool will not only enable ongoing supervision of the workstation but also allow review and analysis of previous data, thereby enhancing quality control of the entire production process and further optimizing time and labour costs. Thanks to the time-efficient dimensioning operation, it will be possible to significantly increase the volume of production being checked and the safety factor of the final products.
Programme: LIDER XV.
Project time frame: 2025.10.01 - 2028.10.01
The total cost of the Project: PLN 998 916,25
The total amount of funding: PLN 998 916,25
Coordinator: Mateusz Sitko