Smartphone surveying automates data processing! Improve operational efficiency using the cloud

(Introduction) In recent years, "smartphone surveying," which leverages smartphones on surveying sites, has attracted attention. Thanks to the increasing performance of smartphones and advances in cloud technology, surveying tasks that previously required time and manpower can now be made dramatically more efficient. The push for DX (digital transformation) in the construction and civil engineering industries is also accelerating this trend, and efforts to automate on-site surveying data processing are gaining momentum. In fact, a Ministry of Land, Infrastructure, Transport and Tourism survey reported that 3D surveying using ICT can reduce working time by up to 70%, and smartphone surveying is expected to be a trump card in this regard.

This article systematically explains the current state and challenges of smartphone surveying, the automation of processing, management, and sharing using the cloud, and key points for ensuring accuracy and precautions when introducing it—aimed at practitioners in surveying, construction, and civil engineering and those promoting DX. At the end of the article, we also touch on the advantages of "LRTK," a solution that enables simple, high-accuracy smartphone surveying with cloud integration, and introduce a concrete first step for on-site DX.

Current status and challenges of smartphone surveying

What is smartphone surveying? As the name implies, smartphone surveying is a method of conducting surveying (measurement and recording) using a smartphone. By utilizing a smartphone’s camera, sensors, and dedicated apps, dimensions and shapes of terrain and structures are captured digitally. In particular, recent smartphones (some iPhones and iPads, for example) equipped with LiDAR (light-based distance sensors) make it easy to acquire 3D point cloud data of the surroundings. For example, simply pointing a LiDAR-equipped smartphone at a slope or structure can capture high-density 3D data consisting of hundreds of thousands to millions of points in a short time. Combined with photogrammetry (SfM) from photographs, it is also possible to create detailed 3D models using only a smartphone and a commercially available drone, without special equipment. Such technological advances are bringing an era in which 3D measurement—which once required specialized surveying equipment and advanced skills—can be handled by a palm-sized device by anyone.

Widespread use on-site and benefits of adoption A primary advantage of smartphone surveying is the significant improvement in work efficiency and cost. Traditionally, surveying using total stations (TS) required multiple people and considerable time, but there are increasing cases where a single smartphone and one field worker can complete the process. Because intuitive smartphone operation enables measurement even by non-experts, one-person surveying is achievable even at sites suffering from labor shortages. For example, a small construction company that introduced a smartphone surveying app for as-built measurement of a small-scale road project reduced a task that used to take more than half a day with a TS to about one hour. The 3D point cloud data allows visual confirmation of the as-built condition and simplifies the creation of reports for clients—so smartphone surveying improves not only measurement speed but also post-measurement explanation and sharing. As such, smartphone surveying is attracting attention as an initiative directly linked to on-site productivity improvement and is beginning to contribute to the wider adoption of ICT-utilized construction.

New possibilities brought by smartphone surveying Smartphone surveying is also revolutionary in that it enables measurement of things that were previously difficult to measure. Complex rock formations and slopes, intricate piping, the undersides of bridges, and narrow spaces under floors—targets that were hard to approach with traditional surveying equipment—can be recorded safely and quickly with a smartphone plus point cloud technology. For example, scanning equipment before burial with a smartphone and keeping a detailed 3D record allows accurate understanding of the original conditions if problems occur later. In large-scale disasters, where heavy machinery and surveying equipment cannot be brought in, smartphone-only 3D recording of damaged areas can facilitate rapid situation assessment and recovery planning. Because people do not need to enter dangerous areas, safety is improved, and smartphone surveying can be a powerful tool for visualizing sites and enabling remote assistance.

Challenges: concerns about accuracy and the data processing barrier On the other hand, several challenges have been pointed out in the spread of smartphone surveying. A representative concern is measurement accuracy. The GPS built into smartphones has positioning accuracy on the order of several meters, so the positional accuracy of the captured point clouds and survey points is uncertain without correction. Also, cameras and LiDAR sensors in smartphones are inferior in measurement range and resolution compared to expensive surveying-specific equipment (such as terrestrial laser scanners). However, these accuracy issues are being steadily addressed through RTK-based high-precision positioning corrections and advances in algorithmic correction, which will be discussed later.

Another barrier is data volume and processing load. Point clouds and high-resolution photogrammetry data acquired by smartphones can often reach several GB in size. Processing and storing these large datasets on a PC requires high-performance hardware, presenting a hurdle for in-house setup. Because the data are so large, simply transferring and sharing them among stakeholders also takes time. In practice, issues such as "we lost track of the latest file while exchanging data via the company server or USB" or "the PC froze and processing took days" are not uncommon. This kind of data management and sharing hassle is an important issue to solve to maximize the benefits of smartphone surveying.

Automating data processing, management, and sharing using the cloud

A key solution to the above challenges is cloud utilization. By integrating cloud services, the large amounts of data obtained from smartphone surveying can be processed, managed, and shared far more efficiently. Below, we look at the benefits of cloud use from the perspectives of data processing, data management, and unified sharing.

Heavy processing automated quickly in the cloud Heavy tasks such as surveying data analysis and 3D model generation traditionally required running software on high-spec PCs. By using cloud services, these processes can be offloaded to high-performance servers over the internet. For example, photogrammetry processing that constructs a 3D terrain model from many photos taken with a smartphone can be executed automatically in the cloud, avoiding load on the field worker’s smartphone or a local PC. Users can continue other tasks while processing runs, and the resulting data can be reviewed online. Cloud-based automated processing enables people without expertise in specialized software to perform advanced analyses with the click of a button, broadening the adoption of 3D data utilization.

Centralized management of surveying data and real-time sharing The biggest advantage of uploading data to the cloud is having a centralized management environment accessible from anywhere via the internet. Surveying data that used to be scattered across PCs and USB drives by site can be consolidated on the cloud and organized by project. Real-time sharing—where office staff can immediately view the latest data uploaded from the site via smartphone—is also possible. For example, storing point cloud data in the cloud allows supervisors or clients at remote offices to view 3D data via a browser and even measure distances or areas on the spot. Without waiting for USB transfers or email attachments, "measure and share immediately" becomes possible, significantly reducing information transmission lag.

Moreover, cloud platforms make access rights management easy, so limited sharing with external partners or clients can be done with a single click. Sending a viewing URL link allows recipients to view point clouds and photos in a web browser even if they do not have dedicated software. Many services also provide password-protected or time-limited links, allowing secure data sharing. In this way, using the cloud can automate the data sharing workflow across site, internal, and external stakeholders and minimize the effort required.

Improved backup and data preservation Cloud use also contributes to improved data safety. If important surveying data are stored only on local devices, there is a risk of data loss due to device failure, loss, or disaster-related damage. Uploading to the cloud minimizes data loss risk through automatic backups and redundant server environments. Compared to maintaining an on-premises company server, cloud services offer continually updated security measures and higher reliability, providing peace of mind for data protection. Entrusting on-site surveying data to the cloud thus not only improves convenience but also provides robust backup measures.

Examples of operational efficiency improvements using smartphone surveying

Here are some concrete cases showing how smartphone surveying combined with the cloud has contributed to operational efficiency on actual sites.

Case 1: Dramatically reduced surveying time on a small-scale project

A regional construction company adopted smartphone surveying for as-built management of a road repair project. Previously, two-person teams using total stations took more than half a day to measure terrain points, but after switching to a surveying app that used LiDAR-equipped smartphones and high-precision GNSS receivers, a single field worker could complete 3D data acquisition in about 30 minutes to 1 hour. The captured point cloud data were uploaded to the cloud on-site, allowing engineers at headquarters to evaluate the as-built condition in real time. As a result, the lead time from surveying to reporting was reduced to about one-quarter of the previous time, and report creation efficiency greatly improved. Additionally, using point clouds in meetings with clients allowed intuitive sharing of site conditions that are difficult to convey with paper drawings or photos alone, producing a beneficial effect of smoother explanations and discussions.

Case 2: Rapid 3D recording at hazardous and emergency sites

Smartphone surveying also proves powerful at sites requiring emergency response, such as during heavy rain disasters and landslides. At a disaster site where large surveying equipment could not be brought in, a field worker performed local scans with a smartphone and obtained detailed 3D point clouds of the affected area in a short time. The data were immediately shared via the cloud, enabling headquarters and government officials to grasp the damage three-dimensionally from their offices. Processes that would have taken days for on-site confirmation were significantly shortened, speeding initial response. Because collapsed areas that people cannot safely enter could be measured remotely, necessary information was gathered while avoiding the risk of secondary disasters. In such narrow and dangerous locations, smartphone surveying demonstrates its true value, contributing to both safety and rapid decision-making.

Points to ensure accuracy in smartphone surveying

Ensuring data accuracy is essential when using smartphone surveying in practice. To secure reliability comparable to traditional equipment, pay attention to the following points during operation.

• Use high-precision GNSS (RTK) in combination: To compensate for the inaccuracy of the smartphone’s built-in GPS, connect an RTK-capable GNSS receiver to the smartphone whenever possible. RTK (real-time kinematic) is a technology that improves positioning accuracy to within several centimeters (several inches) using correction signals from a base station. In Japan, augmentation signals provided by the QZSS "Michibiki" (CLAS) can also be utilized, and with compatible devices, centimeter-level accuracy (half-inch accuracy) is achievable even with a smartphone. By using RTK with smartphone surveying, high-precision position information can be attached to the acquired point clouds and survey points, producing results that align closely with drawings and design data.

• Use LiDAR-equipped smartphones and high-performance cameras: Choose smartphones with the latest sensors as much as possible. LiDAR-equipped phones can acquire high-density point clouds in a short time, and models with high-performance cameras are advantageous for detailed photogrammetric modeling. Also, ensure the sensor operates under appropriate conditions—such as adequate lighting and proper distance to the subject—when shooting (be mindful of sensor interference from direct sunlight when using LiDAR outdoors, and consider device-specific characteristics during measurement).

• Appropriate measurement methods and preparation: When scanning with a smartphone, plan the movement path and scanning angles so the entire object is captured without gaps. For complex shapes, scan from multiple directions rather than a single direction to reduce blind spots. Placing targets (markers) on the ground to later align point clouds accurately is also effective. Additionally, calibrate the smartphone and app before measurement to optimize sensor accuracy. Such preparation and careful measurement procedures will improve data accuracy and quality.

• Cross-check with control points and known distances: To verify the reliability of acquired data, measure known points at the site (points with previously determined accurate coordinates) or known distances and compare them with smartphone surveying results. For example, measure known building dimensions or the intervals of scale bars placed on-site in the point cloud data to see whether they match precisely. If some errors exist, post-processing software can perform scaling or coordinate corrections to raise overall accuracy. For important measurements, perform cross-checks to ensure result accuracy.

• Use noise filtering and post-processing: Point clouds acquired by smartphones may include noise points or outliers. Remove these unwanted data using dedicated software or in-app filtering and apply smoothing to reduce measurement errors. When importing point clouds into CAD or BIM software, it is often useful to mesh (polygonize) the data first and then extract required dimensions. When comparing point clouds to design data, be careful to unify coordinate systems and units. Some cloud services now automate these post-processing steps, so actively adopt available solutions to save effort while ensuring accuracy.

Precautions when introducing smartphone surveying

When introducing smartphone surveying, consider the following points for smooth planning and operation.

• Select compatible devices and apps: First, choose the smartphone surveying method and tools that match your company’s needs. If you do not have a LiDAR-equipped phone, consider upgrading devices. If high accuracy is required, look into RTK-GNSS receivers that can be attached to smartphones. There are various surveying apps and cloud services, so compare supported data formats, functions, and pricing structures to select those that fit your business.

• Internal training and operational rule establishment: Although smartphone surveying is intuitive, it is advisable to provide in-house training on equipment handling and data processing workflows. Start with trial implementations on small projects so field staff have time to become familiar with operations. Use insights gained to establish operational rules such as data naming conventions, cloud folder structure, and sharing permissions to prevent future problems.

• Coexistence with existing workflows: In the early stages of adoption, it is recommended to operate in parallel with traditional methods and compare results to verify reliability. For instance, continue surveying important control points with a TS while measuring the surrounding area with a smartphone and compare results during a transition period. As internal confidence in accuracy and benefits grows, gradually expand the scope of smartphone surveying. Avoid switching everything at once; phased introduction reduces confusion on site.

• Consider communication environment and data volume: If integrating with the cloud, check the communication environment on-site. In mountainous areas or underground spaces where real-time upload is difficult, temporarily store data on the device and synchronize later over office Wi‑Fi. Also, understand cloud storage capacity and monthly fees in advance and choose a plan that matches your data volume. Handling large point cloud datasets can lead to higher-than-expected cloud costs, so consider operations like trimming unnecessary parts or compressing data as needed.

• Achieve consensus internally and externally: When introducing new technology, ensure awareness and understanding from field staff to management and even clients. Internally, present the benefits of smartphone surveying (labor savings, improved safety, quality improvement, etc.) quantitatively to share return-on-investment expectations. For clients, explain in advance how deliverables using 3D data will be provided to avoid confusion and obtain agreement. Where appropriate, citing national or municipal guidelines (such as i-Construction) to show that introducing new technologies aligns with industry trends can be effective.

Advantages of simple surveying and cloud integration with LRTK

We have covered the benefits of smartphone surveying and cloud utilization; one concrete solution to realize these is LRTK. LRTK is an integrated platform combining an RTK-GNSS device called "LRTK Phone" that transforms a smartphone into a high-precision surveying instrument, a dedicated app, and a cloud service. This system enables even beginners to perform centimeter-level accuracy (half-inch accuracy) surveying and data sharing with simple operation.

LRTK’s greatest feature is high-precision yet easy one-person surveying. A small device that mounts on the smartphone (an antenna-integrated GNSS receiver) performs real-time high-precision positioning, and the dedicated app runs LiDAR scanning on the phone with one tap. The acquired 3D point cloud and positioning data are automatically converted to map coordinate systems on-site and uploaded to the cloud. Precision field surveys that previously required specialists can be completed by one of your own workers in a short time using LRTK, and the data can be shared instantly both internally and externally.

On the LRTK cloud, uploaded surveying data can be centrally managed by project, and sharing links for stakeholders and exports for drawing/CAD software are simple. For example, measured coordinate points can be downloaded in CSV format for import into design software, and point clouds can be exported in common formats for BIM/CIM use. A browser-based point cloud viewer with direct measurement functions allows clients to inspect details on the web. Security features such as encrypted communications and access restrictions are well implemented, enabling safe cloud utilization of on-site data.

By adopting LRTK, you can combine the ease of smartphone surveying with the convenience of cloud integration to strongly promote on-site DX. Smartphone-and-cloud-based surveying is expected to become increasingly mainstream. For companies working on efficiency improvements and labor reduction, solutions like LRTK can be a reliable ally in site transformation. Actively adopt the latest smartphone surveying technologies and realize operational efficiency improvements through automated data processing.