Automatic cartography Vira Kavir (ACVS) is an automatic software that has revolutionized the way maps are created. With ACVS, users can simply upload an orthophoto image, and the software will automatically generate a map based on the features and details present in the image. However, ACVS is not just limited to creating maps. It can also to detect the position of pipelines by detecting their trace on the ground or pavement.
ACVS works based on advanced image processing and deep learning techniques such as segmentation and object detection. Segmentation is used for determining roofs, land, and superstructure of buildings and roads. The segmentation method is based on transformers and can handle different sizes of objects. This allows the software to accurately identify and label different features in the image.
Object detection is used for detecting the position of pipelines. The object detection method comprises a super-resolution model and attention modules, which enable it to detect even the smallest details in the image. This algorithm also utilizes oriented bounding boxes for handling pipelines in different places on the pavement surface. This makes it an ideal tool for pipeline detection and mapping.
One of the key benefits of ACVS is its ability to create maps and detect pipelines quickly and efficiently. This is particularly useful in emergencies where time is of the essence, such as during natural disasters or pipeline leaks. The software can also be used for urban planning, environmental monitoring, and other applications.