![]() employed several low-cost cameras to achieve 360-degree coverage and an accurate multi-view stereo. As an example, self-driving vehicles use the images captured from multiple cameras to provide 3D mapping and 3D obstacle detection to navigate in complex environments. This method can be seen in the literature being used in several applications, from medical to robotics and 3D games development. Nowadays, however, there are more sophisticated methods that utilize images captured from an object to reconstruct it, called three-dimensional reconstruction, or just 3D reconstruction. Traditional computer-aided design software method (e.g., AutoCAD and SolidWorks) often demands skilled labor from designers, and a long time for development. There are several different methods of creating a virtual environment and the three-dimensional objects which compose it. An interesting approach is to provide a detailed and safe environment through the virtual reality. Therefore, several courses and training are required to offer the employee the appropriate skills. This task accomplishment demands skilled professionals, being part of the staff or outsourced. The experimental results will demonstrate precision by comparing the results with ground-truth data, scalability by adding further readings and performance.Įquipment maintenance is part of several engineering environments, from power plants to industrial production lines. ![]() This approach enables us to optimize the time lag between data acquisition and operator visualization, and it is easily scalable if new sensors and algorithms must be added. A cloud server is responsible for texturing and processing the final results. Furthermore, the point cloud and image registration, odometry, and filtering run over fog clusters. In this scenario, a stereo and RDB-D cameras run over edge nodes, filtering, and prepossessing the initial data. To demonstrate this proposal, a real-time 3D reconstruction problem using moving cameras is shown. All information is integrated with different levels of fog nodes and a cloud server to maximize performance. In this approach, each process is embedded in an edge node responsible for prepossessing a given amount of data that optimizes the trade-off of processing capabilities and throughput delays. To solve this problem, the present work uses an edge-fog-cloud architecture running over a publisher-subscriber communication framework to optimize the computational costs and throughput. This multidimensional information makes it possible to have a full understanding of given equipment, enabling remote diagnosis. ![]() Digital models capable of representing real equipment for full remote inspection demand the synchronization, integration, and fusion of several sensors and methodologies such as stereo vision, monocular Simultaneous Localization and Mapping (SLAM), laser and RGB-D camera readings, texture analysis, filters, thermal, and multi-spectral images. The increase in the development of digital twins brings several advantages to inspection and maintenance, but also new challenges. ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |