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The Advantages of In-House Processing for Photogrammetry and LiDAR with an In-House Server

Updated: Nov 9, 2023

Empowering Efficiency, Security, and Control in Photogrammetry and LiDAR Data Processing with In-House Servers


Photogrammetry and LiDAR (Light Detection and Ranging) have become essential technologies in various industries, including surveying, mapping, agriculture, forestry, construction, and archaeology, to name a few. These technologies enable the creation of high-resolution, accurate 3D models of the environment, aiding in decision-making and improving project outcomes. While cloud-based processing solutions are available, in-house processing with an on-site server offers several distinct advantages that can significantly benefit organizations. In this article, we explore the key benefits of adopting in-house processing for photogrammetry and LiDAR data.

  1. Data Security and Control

One of the primary advantages of in-house processing is enhanced data security and control. By performing photogrammetry and LiDAR processing within your organization's infrastructure, you retain complete ownership and control over sensitive data. This approach reduces the risk of data breaches and unauthorized access. In industries dealing with classified or sensitive information, such as defense or government sectors, in-house processing on a dedicated server can be critical for maintaining data integrity and compliance with regulations.

  1. Reduced Data Transfer Time

Handling large datasets generated by photogrammetry and LiDAR can be time-consuming and bandwidth-intensive when relying on cloud-based processing services. By performing the processing in-house, you can significantly reduce data transfer time between your data collection devices and the processing server. This not only speeds up the entire data processing workflow but also minimizes potential network-related bottlenecks and costs associated with extensive data transfers.

  1. Increased Processing Speed

In-house processing on a dedicated server allows organizations to customize and optimize their hardware to match the specific needs of photogrammetry and LiDAR data processing. This level of customization enables faster processing times compared to relying on shared cloud resources. As a result, your organization can complete projects more efficiently, leading to improved productivity and faster project turnaround times.

  1. Cost-Effectiveness

While cloud-based solutions may seem appealing due to their pay-as-you-go model, the costs can add up over time, especially for organizations that handle a substantial volume of photogrammetry and LiDAR data. By investing in an in-house server, you can mitigate long-term expenses, as the cost remains relatively fixed once the server is acquired. Additionally, there are no ongoing subscription fees, which can be particularly advantageous for small to medium-sized businesses with limited budgets.

  1. Scalability and Flexibility

Having an in-house server for photogrammetry and LiDAR processing offers scalability and flexibility tailored to your organization's specific needs. As your projects grow in size and complexity, you can easily upgrade or expand your server's hardware and storage capacity to accommodate the increased demand. This level of flexibility allows you to adapt to changing project requirements without relying on external service providers.

  1. Offline Capabilities

In remote or rural areas with limited internet connectivity, cloud-based processing becomes challenging or impossible. In-house processing enables your team to carry out photogrammetry and LiDAR data processing even in offline environments. This advantage is particularly valuable for field surveys and projects that require real-time data processing without the need for a reliable internet connection.


Conclusion

In-house processing for photogrammetry and LiDAR data with an on-site server provides organizations with enhanced data security, reduced data transfer time, increased processing speed, cost-effectiveness, scalability, and offline capabilities. These advantages empower businesses and institutions to retain control over their data, optimize processing efficiency, and tailor the infrastructure to their specific needs. While cloud-based solutions have their merits, the benefits of in-house processing make it a compelling choice for organizations seeking greater control, efficiency, and cost savings in their photogrammetry and LiDAR workflows.




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