![]() ![]() Users can select among a combination of different surface layers and base planes to accurately calculate the volume in different use cases. The data measured for most LiDAR applications, including volume monitoring, can be exported as point data, which allows the detection of the XYZ coordinates of the material relative to the LiDAR scanner.Strayos provides multiple options for calculating the volumes of stockpiles. LiDAR sensors generate a dense cloud of measurements, with the data points distributed evenly throughout the scene at spacing determined by the scanning parameters. LiDAR Volume Monitoring and Point-Cloud Data Supply and demand could be easily tracked, and complete inventory can be managed across multiple locations along with stockpile history tracking and inventory level thresholds. LiDAR-based volume monitoring can also enable accurate production and material level tracking to prevent stockouts and overstock situations. And due to its extensive range, the data can be collected from a safe distance without endangering the safety of the workers.Īn accurate volume monitoring solution that feeds into any inventory management system can help reduce inventory errors and ensure on-demand delivery verification and timely shipments. LiDAR also can operate in the dark, whereas most optical reconstruction methods require ambient light. It generates spatial data of the object surface, accurate to millimeters, in real-time and can account for all the variations on the material surface. This is where 3D-LiDAR comes into play, as it can scan the entire environment, in this case, the material’s surface, and produces an accurate 3D point cloud comprising millions of points. In contrast, a single-point laser can only measure one point and requires several measurements to derive the same information. But for volume measurement and monitoring, the scan of the entire surface is usually necessary to take the variations in the material surface level into account. Many non-contact sensors, such as single-point lasers, are helpful in some conditions and are generally used for level measurement or object counting. Why volume monitoring using LiDAR makes senseĪccurate 3D shape reconstruction and volume estimation are essential in many applications, such as terrain assessment for construction and the amount of material removed from a mine or stored in a depot. ![]() With the integration of complementing software, a real-time volume monitoring is made possible, enabling complete digitization of the supply chain. Sensor technologies such as LiDAR can improve volume monitoring by enabling data-driven decisions and process optimization. Therefore, many process industries, such as food, feed, and pharmaceutical, are shifting towards automated, high-tech, and no-contact sensors. Traditional and manual volume measurement tools and methods include eyeballing, walking wheel, or bucket, or truckload counting, which are not only inefficient but also costly and inaccurate. One key component of this process is volume monitoring, which is needed to track inventory or measure material stockpiles. This includes accurate measurement and tracking of any stored materials, as entire operations, from planning to manufacturing and delivery, depend on it. In today’s competitive world, any opportunity to make operations more efficient is valuable for companies. ![]()
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