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Follow on Google News | Efficient Logistics Planning Through 3D ScanningBy: Scantech What does the Logistics Company Need? Our client, one of the largest German logistics companies specializing in rail transportation, is looking for a solution to accurately measuring dimensions of vehicles that come in different colors and sizes. In addition, they need 3D data to serve as valuable resources for subsequent analysis and strategic planning. This need has led to a development that makes the traditional manual method of using a tape measure largely redundant. The introduction of 3D scanning technologies (https://www.3d- Measurement Challenges Fast Speed Requirement: Comprehensive Data Acquisition: Reliable Reporting: The measurements need to be error-free, resulting in a reliable report that consistently provides precise data. The Solution: TrackScan-Sharp The optical 3D measurement system TrackScan-Sharp (https://www.3d- Benefits of using TrackScan-Sharp Fast Data Acquisition The system facilitated accurate and efficient recording of vehicle dimensions. In contrast to the traditional approach, which demanded extensive labor and manual measurements, the TrackScan-Sharp significantly streamlined the process. The TrackScan-Sharp drastically reduced measurement time thanks to its large measurement volume of up to 49 m3. Despite the car's size, it efficiently scanned the vehicle. Higher Accuracy TrackScan-Sharp offered significant advantage through its capacity to deliver accurate and comprehensive data. By capturing the complete geometry of vehicles, including their shape, contours, and any potential irregularities, it facilitated precise planning and ensured an optimal fit within load carriers. High Adaptability to Reflective Surfaces Dark and reflective surfaces in 3D scanning present challenges due to their light-absorbing or highly reflective properties. Thanks to TrackScan-Sharp's robust algorithm and anti-interference blue lasers, the engineer scanned the entire car without using sprays. Efficient Evaluation The evaluation of 3D data was facilitated by specialized software. For instance, with the "Minimum bounding box" function of the software, the engineer automatically enveloped the 3D data in a cuboid. Conclusion Overall, the adoption of 3D scanner TrackScan-Sharp represents a significant leap forward for the logistics industry. By meticulously capturing vehicle dimensions and providing detailed models, it contributes to optimized transport planning and execution, ultimately elevating the overall performance of the logistics company. End
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