How to Fast-Track Point Cloud Data Sharing | 7 Pitfalls of Storage, Permissions, and Viewing

Table of Contents

• Pitfall 1: Storage overload from massive point cloud files

• Pitfall 2: Inefficient sharing methods (email, physical media)

• Pitfall 3: Proliferation of duplicate files and confusion over the latest version

• Pitfall 4: Access restrictions and information leaks due to permission setting errors

• Pitfall 5: A viewing environment (specialized software, high-performance PCs) is required

• Pitfall 6: Decreased information utilization due to insufficient viewer features

• Pitfall 7: Rework due to lack of real-time updates

• Summary

In construction, civil engineering, and surveying sites, 3D point cloud data is beginning to be utilized. Point cloud data (point clouds) are collections of countless points obtained by laser scanners or photogrammetry, with each point containing XYZ coordinates (position) and color information. When displayed on a computer, they can reproduce the real object's shape in three dimensions. Because they can digitally record complex existing conditions that photos or 2D drawings cannot fully capture, they are attracting attention as a highly accurate measurement method. If these can be shared quickly among stakeholders, the overall communication efficiency of the project will improve dramatically. However, when trying to rapidly share point cloud data from the field to internal and external parties, even the high-precision data acquired on site often do not go as planned—many people may have had such experiences. There can be unexpected pitfalls. For example: files can be so large that transfers take a long time; setting up the environment for viewing can be cumbersome; or access permission settings can prevent smooth information sharing. If these obstacles are left unaddressed, the valuable digital data you obtained may not be fully utilized, potentially causing reduced operational efficiency and rework.

So, what is the quickest way to enable point cloud data sharing? This article explains leveraging the cloud—the key—and the seven common pitfalls that tend to trip people up [storage, permissions, and viewing challenges]. Centered on cloud sharing, we hope this helps you understand countermeasures for each pitfall and provides hints to advance on-site DX (digital transformation) one step further.

Pitfall 1: Storage overload from massive point cloud files

Point cloud data can become massive, reaching several GB per file. The higher the point density, the more the file size swells, and it can run up against storage limits not only for email attachments but also for common cloud storage services. For example, scanning even a small building can produce hundreds of millions of points, and file sizes exceeding 5 GB are not uncommon. At such sizes, the files far exceed typical email attachment limits (on the order of several tens of MB), so they cannot be sent at all; even if you can upload them to the cloud, it can take recipients a long time to download and disrupt their work. In extreme cases, there have been instances where uploading a point cloud over 10 GB from a suburban site to the cloud took more than half a day. This capacity barrier is the first challenge encountered when sharing point clouds.

Solutions include data reduction and the use of sharing methods that support large volumes. Specifically, this can mean thinning out unnecessary points or splitting data by area to keep file sizes down, and reducing storage requirements with point-cloud-specific compression formats (e.g., LAS/LAZ). It is also effective to adopt mechanisms for fast distribution using cloud services with near-unlimited capacity or content delivery networks (CDNs). In addition, issues with network connections cannot be ignored. For example, if you try to send several GB of data from an on-site location over a mobile connection, you will not only be forced to wait a long time for the upload to complete, but the burden on your data allowance will also be large. In such situations, data reduction and streaming technologies prove powerful. Rather than trying to forcefully send massive datasets as-is, address capacity problems through appropriate preprocessing and platform selection.

Pitfall 2: Inefficient sharing methods (email and physical media)

A common mistake in sharing point cloud data is sticking to traditional file-transfer methods. Despite the large data sizes, people try to send files as email attachments and encounter transmission errors, or inefficiently split the data into multiple files and send many emails. There are also cases of copying data to USB flash drives or external hard drives for hand delivery or postal shipment, but this makes the transfer from the field to the office slow and is far from real-time information sharing. Furthermore, handing over physical media carries the risk of information leaks due to loss or theft.

With these traditional sharing methods, immediate use of point cloud data cannot be expected. To share as quickly as possible, you need to switch to a method that allows centralized online management. Internal file servers and FTP still leave the hassle of downloading, but if you issue a sharing link on the cloud, you only need to give the recipient the URL. Instead of attaching huge files to email, directing them with "Please view the point cloud data via this link" lets recipients access it instantly from their desks or on site. Because no special handover procedures are required, another advantage is that data can be delivered regardless of time or location. Compared with handing over physical media, sharing via the cloud is overwhelmingly faster and less labor-intensive.

Pitfall 3: Proliferation of duplicate files and confusion over the latest version

When multiple people handle point cloud data, maintaining data consistency is also important. In workflows where files are passed around by USB or email, scattered copies tend to exist on each person's device, often causing confusion about which one is the latest. If the point cloud file held by field staff member A and the file held by design staff member B differ subtly, there is a risk of proceeding based on incorrect, outdated data. In fact, if someone mistakenly edits drawings thinking they are working from the latest version while referring to an old point cloud, the finished deliverables may have to be redone.

To avoid this pitfall, centralized data management and real-time updates are key. By leveraging cloud sharing, point cloud data can be managed in a single location, and when someone uploads new data it is automatically shared with everyone. This eliminates the hassle of asking "Which one is the latest?" and ensures that everyone always refers to the most up-to-date information. Preventing the proliferation of duplicate files and sharing a single source of truth (Single Source of Truth) forms the foundation of efficient collaboration. In addition, centralizing data makes it easier to track update histories and manage past versions, which is reassuring from a quality control perspective.

Pitfall 4: Access restrictions and information leakage caused by misconfigured permissions

Convenient cloud sharing can also cause unexpected problems if access permissions are set incorrectly. For example, you might issue a share link but forget to grant viewing permission so the recipient cannot access it, or conversely set it so anyone can access it, risking the exposure of confidential data. In construction projects, stakeholders such as the prime contractor, subcontractors, the owner, and government agencies are wide-ranging, so it's necessary to control who can see what. However, when permission management is complicated, situations can arise where "the people who should see it don't receive it" or "people who shouldn't see it can see it." If you casually share with a setting like "anyone with the link can view," there's a risk that information will reach unintended third parties, so be careful.

To avoid this pitfall, carefully check permission settings when sharing, and, if necessary, make use of password protection or time-limited links. Some cloud services offer the ability to finely configure view and edit permissions for each link. Since you are handling point cloud data, which is confidential information meant to be kept from external parties, access control should be handled cautiously. Do not share with the default settings; always check "who can open this URL" and "is it safe if it is forwarded to a third party." For safe and smooth sharing, permission management that balances security and convenience is indispensable.

Pitfall 5: Viewing environment (dedicated software / high-performance PC) required

Even if you receive point cloud data, it goes to waste if the viewing environment isn’t prepared. Traditionally, recipients needed to have dedicated viewer software or compatible CAD software to view point clouds. For example, opening point cloud files of several GB often requires a high-performance workstation, and installing dedicated software can take time. Installing new software on company PCs requires administrator privileges or approval, so it can’t be easily deployed on site. It’s also a high hurdle to ask external parties, such as partner companies or clients, to “please install this software,” and if they aren’t IT-savvy, viewing becomes virtually impossible. Furthermore, if the recipient’s PC lacks sufficient specs, even if they can open the data, performance can become extremely sluggish or the system can freeze, making the data effectively unviewable.

The best way to solve these viewing-environment problems is to use a system that allows viewing without any software. Nowadays, cloud-based web viewers are widespread, and there are services that can display 3D point clouds as long as you have a browser. If the sender simply prepares the data in the cloud, the recipient can display the point cloud in their PC or tablet (and even smartphone) browser just by clicking a URL received by email or similar. Because there's no need to install dedicated software or worry about hardware requirements, everyone from site supervisors to clients can easily view the same 3D data. Conversely, if the viewing environment isn't in place, the shared point cloud may stall and communication could revert to relying on 2D drawings and photos. To share point clouds as quickly as possible, it's important to make sure they are in a state where "the recipient can view them immediately without any special preparation."

Pitfall 6: Reduced Information Utilization Due to Insufficient Viewer Functionality

The value of point cloud data cannot be fully realized by simply viewing a 3D model. It is desirable that recipients can freely manipulate the data and extract the required dimensions and shapes. However, depending on the viewing environment, that may not be possible. For example, a sender might give screenshots or videos instead of the point cloud to a recipient who does not have the dedicated software. In that case, the recipient can only see images from predetermined viewpoints and cannot change the viewpoint or measure distances themselves. This undermines the core benefit of point cloud sharing: "recreating the site in a virtual space and freely verifying it." Furthermore, because recipients cannot check questionable points on their own, they end up having to ask the sender for additional information (for example, "please tell me the dimension here"), which prevents smooth communication.

To address this pitfall, you should choose a sharing method that allows interactive manipulation on the recipient’s side. Some of the cloud web viewers mentioned earlier provide not only simple display but also features that let recipients rotate and zoom the 3D space and measure the distance between arbitrary points. If point cloud data is shared in such an environment, recipients can examine points of interest in detail themselves and measure on the spot, for example, “how far is it between these columns.” To have point cloud data used as living information, it is important for the sender to select a platform with well-developed viewer functionality. Conversely, sharing in an environment with inadequate features can lead to the disappointing result that “in the end it wasn’t useful because the details couldn’t be checked.”

Pitfall 7: Rework Caused by Lack of Real-Time Capabilities

The purpose of sharing point cloud data is to instantly convey the reality of the site and reduce rework. However, if the sharing process lacks real-time capability, this benefit cannot be fully realized. For example, the conventional workflow of taking point clouds measured on site back to the office, processing them, converting them into drawings, and then sharing them inevitably causes a time lag of several days or more. During that time site conditions may change, or one may later realize that initial measurements were insufficient and have to return to the site, leading to time losses and rework. Rework tightens the construction schedule and incurs additional costs, and in the worst case may lead to penalties or contractual disputes. Also, if point cloud sharing is retrospective (a downstream process), by the time it is shared construction may already have progressed, resulting in cases of "if only we had known earlier, we could have dealt with it." In fact, there are cases where, after a renovation is completed, the client points out "it doesn't match the image," and rework is required—situations that might have been prevented by sharing 3D data earlier.

To solve this problem, the key is to build a workflow that shares point cloud data as close to real time as possible. Specifically, it is ideal to upload the point cloud to the cloud immediately after acquiring it on site and to set up a system so that stakeholders can check the data within the same day. If the latest data is always accessible in the cloud, work can proceed in parallel between the site and the office. For example, if the site staff measure the point cloud in the morning and share it to the cloud, a designer can start revising drawings using that data in the afternoon. This kind of real-time sharing also allows feedback loops such as "pointing out missed measurements → additional measurement" to turn immediately, minimizing unnecessary rework. Running point cloud data sharing as quickly as possible means not just sending it fast but also enabling fast utilization. In other words, by sharing the point cloud—the "truth of the site"—without delay, you can eliminate discrepancies in understanding between the site, the office, and the client, and prevent needless rework.

Summary

To share point cloud data smoothly and quickly, it is essential to be aware of the seven pitfalls mentioned above in advance and to address them appropriately. For capacity issues, use data reduction and platforms that support large volumes; for access control, exercise meticulous care and implement proper security settings; for the viewing environment, deploy a cloud viewer that requires no software; and for the overall process, operate with an emphasis on real-time responsiveness — by covering these points, you can achieve a workflow that turns around point cloud data in the shortest possible time. In this era of digitization, improving the efficiency of point cloud data sharing is now an unavoidable challenge.

Rapid information sharing leads to shorter construction schedules and resolves misunderstandings, giving the team more leeway. The freed-up time can be redirected to quality control and safety measures, and a commitment to consistently disclosing the latest data will also help build trust with the client.

Especially, leveraging the cloud is the key to dramatically increasing the speed and efficiency of point cloud sharing. In fact, solutions have emerged that enable high-precision positioning and point cloud measurement using only a smartphone and a small device, and allow that data to be shared to the cloud on the spot. For example, by using the high-precision GNSS device "LRTK" that can be attached to an iPhone, anyone can easily acquire point clouds with centimeter-level position information (cm level accuracy (half-inch accuracy)) and upload and share them to the cloud directly from the field. Recipients can check the latest 3D data simply by clicking a URL, so everyone—on site, in the office, and including the client—can simultaneously grasp the same current conditions. Even without preparing expensive dedicated equipment or a large specialist team, combining simple tools and the cloud has made it possible for anyone to realize such advanced workflows. The conventional wisdom that "point clouds are heavy and hard to handle" and that "sharing takes time" is now being overturned.

If you're unsure where to start with on-site DX, try a lightweight tool like LRTK first and let a small team experience point-cloud sharing in the cloud. By combining the cloud with the latest devices, you can establish an environment that enables speedy sharing and utilization of point-cloud data as part of on-site DX, and take your projects in the DX era to the next stage.