EasyField evolves: new features to enhance accuracy and productivity

EasyField evolves to improve field productivity On public works sites and in underground utility network management, time pressure continues to increase. Field teams must deliver results faster while ensuring impeccable data quality. As part of its continuous improvement approach, EasyField introduces new features focused on two key operational priorities: accelerating data capture and strengthening dimensional control directly in the field. These enhancements are based on user feedback and real-world site usage. Point surveying now available in 1 second Speed is one of the most frequently expressed needs from field teams. On some projects, a large number of points must be surveyed, and every second counts. EasyField now offers two capture modes. Two capture modes adapted to site constraints A 1-second fast mode significantly accelerates surveying operations, particularly on linear networks or large-scale construction sites. It improves workflow fluidity and reduces overall time spent on site. A 5-second standard mode remains available when environmental conditions require longer GNSS signal stabilization or when the user prefers additional measurement consolidation. This flexibility allows fast surveying to be adapted to real site conditions without increasing operational complexity. New real-time measurement and dimensioning features Beyond measurement speed, the application update strengthens geometric control directly from the smartphone, with two new features: Linear dimensioning (both partial — segment by segment — and total or cumulative line length) Area dimensioning (automatic calculation of the surface area enclosed within the geometry) Dynamic display of segment distances When creating a polyline, EasyField displays in real time the distance between the last surveyed point and the vertex currently being positioned. The operator instantly sees the length of the active segment, while partial distances of all existing segments are also displayed, providing complete and precise tracking of the polyline with each new capture. This real-time visualization allows immediate adjustment of vertex spacing and helps avoid corrections after export. Cette visualisation en temps réel permet d’ajuster immédiatement l’espacement des sommets d’un tracé et d’éviter les corrections après export. Automatic calculation of total polyline length Once the polyline is completed, the cumulative length is automatically calculated and displayed within the application. Users can immediately verify measurement consistency before validation. Instant surface calculation for area surveys For area surveys, the surface is automatically calculated as soon as the polyline is closed. This feature simplifies the control of site boundaries, earthwork zones, and operational perimeters directly in the field. Data is no longer merely captured — it is validated at the very moment it is produced. Convert a polyline into a surface Close a polyline to display the surface area value A direct impact on field-to-office workflow efficiency These enhancements deliver tangible operational benefits: 1-second surveying reduces time spent on site Dynamic measurement secures dimensional accuracy Immediate validation limits office rework The result is a more fluid production chain, where data circulates faster and with less uncertainty between field operators, site managers, and design offices. These new features integrate seamlessly into the EasyField ecosystem These capabilities complement the functionalities already available within the application. To discover the full EasyField workflow for stakeout and topographic surveying, explore our detailed solution overview. EasyField also relies on high GNSS accuracy—particularly through our Proteus receiver—to ensure the reliability of field measurements. This update is part of an ongoing commitment to improving site productivity while securing the quality of georeferenced data. Try the new EasyField features The update is available on iOS and Android. To discover 1-second surveying and the new real-time measurement features in action, schedule a demonstration with our team and evaluate how they integrate into your workflow.

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EasyField: the all-in-one solution for staking, topographic surveying, and earthworks

Field operations are facing increasing requirements in terms of reliability, responsiveness, and data quality. For network operators and public works companies, it has become essential to rely on tools that reduce rework, secure field operations, and streamline exchanges between the jobsite and the office. EasyField addresses these challenges by turning a smartphone or tablet into a practical surveying tool tailored to field use. The application covers staking, topographic surveying, and earthworks control within a single mobile environment. EasyField, a mobile surveying application focused on simplicity and accuracy Designed for everyday geospatial operations, EasyField combines: centimeter-level GNSS accuracy, an intuitive interface, a smooth workflow, compatibility with CAD formats (DXF, DWG) as well as point list formats (CSV, TXT, XLSX, ODS). From an iOS or Android smartphone or tablet, plans can be viewed directly in the field, operations are guided step by step, and topographic data is captured and verified throughout the intervention. The goal is to reduce time spent on site while ensuring the reliability of the data produced. Staking: fast and plan-compliant field execution Site staking plays a key role in the success of a project: it ensures the accurate transfer of execution plans to the field by guaranteeing precise positioning of structures, and helps prevent construction errors or delays caused by rework. As a critical phase, it requires reliable tools that can be quickly deployed on site. Turning a digital plan into an operational guide EasyField allows you to import your plans in DXF and DWG formats and view your elements (points, lines, areas) directly on mobile. The application then provides real-time guidance, including: distance indication, direction to follow, confirmation upon arrival. Benefits for field teams With EasyField, staking becomes an accessible operation, even without advanced surveying expertise: Faster staking Greater autonomy for field teams Access to always up-to-date georeferenced data Reduced travel and rework Less reliance on subcontractors Topographic survey: capturing field reality in just seconds Topographic surveys are essential for updating underground networks, documenting project progress, or preparing future works. Simplified topographic surveying EasyField allows you to capture: points, polylines, circles and arcs, surfaces. Each measurement is recorded with a level of accuracy suited to your operational requirements and can be exported in DXF or DWG for immediate integration. Quality validation at the point of capture Survey quality is checked at the moment of capture, allowing measurements to be validated immediately and avoiding any later rework. The application continuously displays: GNSS information, expected accuracy. Result: a survey validated on the first attempt, with no rework required. Earthworks: immediate control and optimization of earth movements Earthworks often represent a significant portion of a project’s budget. Poor cut-and-fill estimation can lead to major cost overruns. Project surface analysis EasyField allows you to import your DTMs (Digital Terrain Models) to compare: existing terrain, proposed terrain. Identify areas to be corrected at a glance The application automatically displays: cut areas, fill areas, surface areas, elevation differences. This allows adjustment decisions to be made immediately, based on reliable data. Who is EasyField for? EasyField is designed to meet the needs of different stakeholders facing the same challenges: saving time, improving the reliability of field operations, reducing errors, and streamlining data flow between the field and the office. Here’s how the application adapts to each user profile. Surveyors: remote supervision, validation, and reduced travel For surveyors, one of the main challenges is the frequent back-and-forth between the field and the office, as well as data transfer between teams. The value of EasyField truly comes into play when used with the Syslor platform, which centralizes plans, synchronizes surveys, and ensures data consistency between the design office and the jobsite. This office ↔ field workflow guarantees controlled production and greater operator autonomy. With the application, surveyors can: prepare staking plans in the office and instantly send them to field teams, retrieve surveys without traveling to the site, review data immediately after it is generated, focus their time on truly critical operations. EasyField becomes an operational support tool, allowing surveyors to work more efficiently while maintaining full technical control over their data. Underground network operators and asset managers: ensuring reliable cartographic updates For underground network operators and asset managers (water, electricity, telecom, gas, wastewater), keeping cartographic data up to date is essential to improve: safety, network maintenance, asset knowledge, regulatory compliance. Teams have access to georeferenced surveys that can be immediately integrated into GIS or CAD systems. On site, you can: accurately survey installed networks, document each asset in real time, reduce cartographic update delays, limit the risks of mislocation or uncertainty. Information becomes reliable, standardized, and immediately integrable into the network asset database. Field operators: a guided and intuitive interface Not all field operators are trained in surveying. EasyField is designed with them in mind, with an interface that makes every action easy to understand. The application simplifies: onboarding in just a few minutes, viewing plans directly on mobile, visual guidance for staking and surveying, real-time validation of captured points, automated data export. No surveying expertise is required: the tool builds confidence for field teams and ensures reliable results from the first attempt. Why choose EasyField ? EasyField fits into a structured approach to field operations by combining data reliability, ease of use, and interoperability with existing tools. Certified GNSS accuracy tailored for public works EasyField works with our Proteus GNSS receiver as well as Emlid Reach RS2 and Teria Pyx GNSS receivers, ensuring centimeter-level accuracy essential for: staking, topographic surveying, earthworks control, network updates. Measurement quality is displayed directly in the application, allowing data to be validated at the moment of capture, with no risk of error. Reliable data from the start means less rework, less uncertainty, and lower costs. Unmatched ease of use EasyField is designed to be used by any team member, even without surveying experience.The application is built around: clear visual guidance, consistent workflows. This simplicity significantly reduces: handling errors, training requirements, dependence on technical experts. Your smartphone becomes a professional tool that is immediately operational. Time savings and cost

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How Merging Orthophotos and Point Clouds Enhances Project Accuracy

On construction sites, each photogrammetric survey generates its own dataset — an orthophoto, a point cloud, sometimes dozens of separate files to manage. Over time, these fragmented deliverables become difficult to work with. Misaligned joins, overlapping zones, or missing areas can compromise the overall topographic consistency of the project. For surveyors, engineering offices, and project managers, the issue is often the same: getting a comprehensive and accurate view of the site requires time-consuming manual work, which increases the risk of errors. This is exactly the challenge addressed by the merging of orthophotos and point clouds.By bringing all survey data together into a single, unified, georeferenced model, this process delivers a continuous, coherent, and readily exploitable view of the project. Beyond improving readability, accuracy, and efficiency across the entire production chain, it also saves a significant amount of time for survey teams when preparing their deliverables. To better understand its advantages, let’s start by defining what the merging of orthophotos and point clouds actually is. What Does Merging Involve? Merging consists of combining several separate orthophotos or point clouds into a single, unified, and consistent view, while preserving the original centimetric accuracy and georeferencing.Each area captured during the photogrammetric survey is repositioned within the same coordinate system to create a continuous mosaic of the project. The merging process relies on rigorous management of metadata and spatial coordinates. This ensures that all datasets align perfectly — without offset, elevation gaps, or quality loss. The result is a unified model that faithfully represents the entire site, enabling consistent and accurate measurements across the whole area. With this merging process in place, it becomes possible to visualize, measure, and vectorize an entire project from a single unified dataset, regardless of the project’s size or complexity. Now that the concept of merging is clear, let’s look at how it concretely improves the production and use of photogrammetric deliverables. Why Merge Your Photogrammetric Deliverables? Merging is not just a simple file combination — it’s a key step that allows teams to fully leverage the richness of photogrammetric data while ensuring the consistency of all deliverables.Here are the main advantages it brings, both in the field and in the office. Gain a Global View of the Project and In-Situ Context Merging provides a comprehensive view of the construction site, restoring the entire area within a single, continuous representation.It makes it possible to place each work zone within its broader environment — a valuable advantage for large-scale sites or linear projects such as roads, utilities, or railway corridors. This unified view helps teams understand how different areas interact, for example between the construction footprint, the surrounding environment, and existing underground or above-ground networks. Improve Vectorization Accuracy and Spatial Consistency By merging several orthophotos or point clouds within the same reference system, merging eliminates alignment errors between deliverables.It ensures a homogeneous topographic continuity, which is essential for: the precise vectorization of utility networks, the production of reliable as-built plans, and volume or surface calculations. Each measurement is therefore based on a coherent, georeferenced dataset, with no risk of misalignment between areas. Simplify the Use of Your Deliverables Through Centralized Data With merging, there’s no need to juggle multiple files anymore.Orthophotos and point clouds are grouped into a single unified view, speeding up processing and reducing the risk of errors during plan production or verification. This approach also simplifies importing deliverables into standard GIS or CAD software (DGN, DXF, CSV): a single, complete, georeferenced file, immediately ready for use by all project stakeholders. Enhance Collaborative Work By providing a single, consistent source of truth, merging makes collaborative work much easier.Everyone works from the same reference dataset, improving both validation and quality control of deliverables throughout the entire project lifecycle. Looking Ahead: Tracking Project Progress Over Time In the long term, merging opens the door to new possibilities: tracking the evolution of a construction site over time, overlaying successive surveys (before and after works), and building a true digital twin of the project. This approach will make it possible to accurately analyze site transformations — from earthworks to network installation — and to ensure complete traceability of all operations. How Syslor Facilitates the Merging of Orthophotos and Point Clouds The merging of orthophotos and point clouds truly reveals its value when it’s part of a seamless workflow — from data capture in the field to data processing and analysis. This is exactly what Syslor offers through two complementary solutions: EasyScan for photogrammetric surveying, and EasyMap for the visualization and processing of deliverables. EasyScan – Accurate and Standardized Photogrammetric Capture Everything starts in the field with EasyScan, the solution designed to perform georeferenced photogrammetric surveys. Each survey performed with the EasyScan application ensures centimetric accuracy and structured, standardized data.As a result, right from the survey phase: orthophotos and point clouds are perfectly aligned within the same reference system; deliverables are immediately available in EasyMap for further processing and analysis. EasyMap – Merging and Centralized Management of Deliverables Once the surveys are completed, EasyMap (formerly Sysmap) takes over. The tool, available directly through the Syslor web portal, assembles orthophotos and point clouds from different photogrammetric surveys to generate a unified overview of the entire project. The user then gains access to a comprehensive environment to: visualize the construction site as a whole, vectorize networks on a consistent base, perform measurements and volume calculations without discontinuities, and export reliable as-built plans with full confidence. This automation ensures a smooth, continuous production workflow, from field survey to final deliverable delivery. Ready-to-Use and Interoperable Deliverables Thanks to the complementarity between EasyScan and EasyMap, all data is aligned, merged, and immediately usable across any working environment — CAD, GIS, or collaborative platforms.The result: greater accuracy, less post-processing, and improved traceability throughout the entire project lifecycle. Want to learn more? Request a demo. A Unified Vision for More Accurate and Actionable Deliverables The merging of orthophotos and point clouds is not just a technical step — it’s a key requirement for ensuring the reliability and readability of

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EasyMap News - October 2025

Customized Attribute Libraries, 3D Editing, and Model Concatenation: What’s New at Syslor? 

Syslor is enhancing its EasyMap platform with three new features that make daily operations even smoother for field and design teams. EasyMap is the drawing and tracing tool accessible directly from the Syslor portal, used by EasyScan users to edit orthophotos and point clouds generated from photogrammetric surveys. It enables users to transform survey data into usable plans, control altimetry, and monitor project progress.  The new features focus on three key aspects:  Customizable vectorization,  The move from 2.5D to full 3D,  Model concatenation for an overall project view.  All these improvements share a common goal: simplify deliverable production, increase accuracy, and ensure better continuity between all project stakeholders.  Customize Vectorization to Match Your Standards Attribute Libraries Tailored to Your Needs Every company applies its own mapping standards. EasyMap now includes customizable attribute libraries, grouping the necessary object families (electricity, water, heating, telecom, wastewater, etc.) in line with your internal practices. Ready-to-Use, Standards-Compliant Exports Generated plans automatically comply with your nomenclatures and export formats (DXF, DGN, etc.). No more manual adjustments — exports from EasyMap are structured, standardized, and complete, saving time and reducing the risk of error.  Control and Edit in 3D While Keeping the Simplicity of 2.5D The Limits of 2.5D 2.5D remains widely used because it’s lightweight and easy to handle. However, it reaches its limits when verifying altimetry or working with overlapping networks. On the other hand, navigating within a 3D view allows for continuous control, but it is less intuitive and straightforward due to the complexity of three dimensions. Dual View for Greater Precision EasyMap now offers a dual view: a classic 2.5D view on the orthophoto to maintain the simplicity of tracing, a 3D view of the point cloud to verify altimetric consistency and interact directly with objects. Thanks to this combination, it is now possible to: draw networks on the orthophoto while simultaneously checking the accuracy and diameters within the point cloud, edit in 3D, allowing users to trace networks or modify a point directly in the point cloud and instantly visualize the impact on the orthophoto. This interaction between the point cloud and the orthophoto greatly enhances the accuracy of as-built documentation. Concatenate Models for a Complete Project Overview Global Project Management and Tracking Model concatenation automatically groups multiple photogrammetric surveys into coherent zones. This provides not only a macro view of the project but also continuous monitoring of its progress. This global approach facilitates project management, team coordination, and the progressive updating of data throughout the project. Global statistics (lengths, network types, progress rates) offer a clear and centralized overview. The choice of the background map allows for better contextualization of the project. Continuity and Unified Export Overlapping areas are automatically flagged as attention points. A dedicated process ensures topological continuity between models, reducing connection errors and ensuring smooth, uninterrupted tracing. The entire project can then be exported as a single, consistent file in all standard industry formats. Result: a single, fast, and consistent export, directly usable in standard industry formats (CSV, DXF, DGN, etc.), with no manual post-processing required. A Step Toward Greater Automation These new features already simplify users’ daily workflows by reducing manual corrections and improving coordination. They also mark the next step in Syslor’s broader roadmap: 3D tracing, AI-assisted drawing, and georeferenced annotations will soon further enrich the EasyMap experience.

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Photogrammetry: principles, method and use cases

What is photogrammetry? Photogrammetry is a technique for generating 3D restitution from 2D images. In practice, it makes it possible to model terrain with high precision, without contact, by exploiting the principle of parallax between several photos taken from different angles. Historically, it was first used in geomatics. Today, this method finds concrete applications in the fields of topography, public works, and network management. For its part, Syslor leverages photogrammetry using video captures made directly in the field by users via the EasyScan application, from a smartphone or tablet. These videos are then processed to produce georeferenced orthophotos and 3D models that can be used in our visualization and vectorization portal. Finally, this article outlines the basic principles of photogrammetry, its key steps, the deliverables generated, as well as its main field applications. Types of photogrammetry (analytical, digital) Depending on the evolution of techniques and available tools, photogrammetry can be implemented in different ways. Two main approaches are generally distinguished, which differ in their level of automation and the calculation methods used: Analytical photogrammetry: based on manual or semi-automated geometric calculations. Digital photogrammetry: fully computer-based, it relies on matching algorithms and image processing. How does photogrammetry work? Beyond its theoretical principle, photogrammetry relies on a well-structured processing workflow that transforms simple images into usable geometric data. From the automatic identification of common points to the generation of orthophotos and 3D models, each step contributes to ensuring the precision and consistency of the final result. Here are the main stages of this process: Matching of homologous points The software automatically identifies identical points (tie points) present in multiple images, usually by using correlation methods or feature detection. In practice, this avoids the need for the operator to manually capture every detail and ensures a solid foundation for reconstructing the site in 3D. Parallax and triangulation in photogrammetry The difference in angle between images makes it possible to calculate the 3D position of each point through triangulation. This mathematical process results in an accurate 3D model of the trench or surveyed surface, which can then be directly used to measure distances, depths, or verify the location of utilities. Image overlap conditions (forward and side overlap) To obtain a coherent and complete model, it is necessary to ensure: A forward overlap of at least 70% between two consecutive images, A side overlap of at least 30% between two flight lines. In practice, this means that operators must capture photos or videos in a regular and structured way, ensuring that the software can accurately reconstruct every part of the site without missing areas. Steps of the photogrammetry processing workflow Image alignment: recognition of common points and relative orientation. Generation of the 3D point cloud: dense, structured, and accurate. Production of the DTM/DSM: extraction of topographic surfaces. Orthophotography: planar, distortion-free, and georeferenced projection. Data export: standard formats for GIS/CAD integration. Photogrammetry deliverables: what results can you obtain? Orthophoto A georeferenced image in planar projection, free from distortion, that can be used as a base map for layouts or surveys. It is the equivalent of a “photo plan” of the construction site, serving as a reliable background for mapping utilities and producing a compliant as-built record. Digital Surface Model (DSM) and Digital Terrain Model (DTM) DSM (Digital Surface Model): includes visible surface objects (vegetation, buildings). DTM (Digital Terrain Model): represents only the bare ground surface, without obstacles. Photogrammetric 3D point cloud Resulting from triangulation, it enables the detailed reconstruction of terrain, structures, and volumes. For the user, this is equivalent to having a digital copy of the site, which can be revisited at any time to perform measurements or provide evidence of the work carried out. Export to GIS / CAD formats The data can be exported in standard formats (.tif, .las, .dxf, .shp, .gml, etc.) for integration into CAD or GIS software. Photogrammetry in the field: what is it used for? Photogrammetry is particularly useful for: Large-scale surface surveys, even in areas that are difficult to access. Construction site visualization, including topography, access, obstacles, and interfaces. Utility marking and as-built plans, where orthophotos allow the visual integration of surveyed networks. Vectorization within professional platforms, where the orthophoto serves as a reliable base for accurately mapping utilities, as in the Syslor interface. Applying photogrammetry to underground utility mapping and as-built documentation In the context of underground utility as-built surveys, photogrammetry provides an effective response to both regulatory and operational requirements. In practice, from videos or images taken during trench openings, it is possible to generate georeferenced orthophotos and 3D point clouds that accurately document the condition of the terrain and the position of installed utilities. Subsequently, the data are integrated into GIS, CAD, or CAE environments using standard formats (.tif, .las, .dxf, .shp, .gml), thus ensuring their usability by all project stakeholders. When combined with centimetric GNSS positioning (RTK/NRTK) or ground control points (GCPs), this method guarantees absolute accuracy in line with as-built requirements. The benefits of photogrammetry in this context are multiple: Damage evidence: the orthophoto serves as an objective record in the event of damage to utilities or incidents related to construction work. Traceability and history: each intervention is documented and archived, providing a reliable basis for monitoring utilities. Damage prevention: accurate knowledge of the subsurface and existing utilities reduces risks during future operations. Asset management: the generated data enrich cartographic databases and facilitate the long-term management of infrastructures. Ultimately, by combining photogrammetry with centimetric GNSS measurements, it becomes possible to produce an as-built survey that is exhaustive, accurate, and reliable as a reference in the event of inspections or disputes. This approach effectively addresses safety, regulatory compliance, and cost-control challenges related to damages. With EasyScan, operators simply record the trench using a smartphone. The videos are automatically transformed into georeferenced orthophotos and accurate 3D models, which are then integrated into the Syslor portal for vectorization. Combined with the centimetric GNSS receiver Proteus, the solution ensures a reliable as-built survey that is immediately usable by all project stakeholders. In summary Photogrammetry is a

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GNSS positioning

GNSS – Understanding the Foundations of Satellite Positioning

GNSS positioning is used in many professional applications, including surveying, civil engineering, and utility network management. It relies on satellite constellations and complex calculation methods to determine an accurate position. Here’s a breakdown of how GNSS systems work and the common causes of accuracy degradation. GNSS: Beyond GPS The term “GPS” is often mistakenly used to refer to all satellite positioning technologies. In reality, GPS is just one of the available systems. The correct term is GNSS (Global Navigation Satellite System), which encompasses all active satellite constellations: GPS (USA) GLONASS (Russia) GALILEO (European Union) BEIDOU (China) Some regions also benefit from complementary regional systems, such as QZSS in Japan. Principles of Position Calculation A GNSS receiver calculates its position based on the measured distance between itself and several satellites. Each satellite continuously broadcasts a signal containing precise time information. By measuring the time it takes for the signal to reach the receiver, the distance can be determined. This process is known as trilateration. To compute a full position (latitude, longitude, altitude) and correct the receiver’s clock bias, at least four satellites are required. Using multiple constellations increases the number of visible satellites, thereby improving the accuracy and reliability of the positioning. Contents of GNSS Signals Each satellite transmits a signal composed of several elements. These signal structures are defined in the official GPS system specification, IS-GPS-200, published by the United States Department of Defense: Navigation data: includes orbital parameters and clock corrections. What are ephemeris data used for? Ephemeris data are orbital parameters transmitted by each GNSS satellite within its navigation messages. They describe the satellite’s trajectory over a given period and are essential for the receiver to compute the satellite’s exact position at the time the signal was transmitted. There are two main types: Broadcast ephemeris, calculated by GNSS control centers and transmitted in real time within the satellite signals. Precise ephemeris, produced by organizations such as the IGS (International GNSS Service), used in applications requiring high accuracy, especially for post-processing. An error in the ephemeris data can result in positioning errors of several meters. Their quality is therefore a critical factor in any precise GNSS computation. Precise ephemerides are particularly provided by institutions like the IGS, which supplies reference orbital and timing data used in PPP (Precise Point Positioning) solutions. Pseudo-Random Noise (PRN) code: allows identification of the satellite and calculation of the signal travel time. Carrier wave: a radio-frequency signal that carries the other data. The satellite–receiver distance can be calculated in two ways: Using the PRN code, with meter-level accuracy. Using the carrier phase, which provides centimeter-level accuracy, but requires complex processing to resolve ambiguities (such as cycle slips and the integer number of cycles). Understanding Carrier Phase Ambiguity Measuring the phase of a carrier wave allows for much higher accuracy than code-based positioning. However, it comes with a particular challenge: the receiver can measure the received phase, but does not know the exact number of whole cycles traveled between the satellite and itself. This is known as carrier phase ambiguity. To convert the measurement into an absolute distance, the ambiguity must be “resolved,” meaning the correct number of full cycles must be estimated. This step is critical in positioning techniques like RTK (Real-Time Kinematic) or PPP (Precise Point Positioning), where the accuracy directly depends on the quality of ambiguity resolution. An incorrect ambiguity “fix” results in a systematic error that can reach several centimeters or more. That’s why high-end receivers include advanced algorithms capable of detecting, modeling, and correcting these uncertainties. Ambiguity resolution is extensively documented in the literature, notably in the Springer Handbook of GNSS (Teunissen & Montenbruck, 2017), a key reference on the topic. Main Sources of GNSS Errors Several factors affect positioning accuracy. Errors may arise from: From the satellites: Clock errors: although satellites are equipped with atomic clocks, even tiny drifts can cause positioning errors of several meters. Orbital errors: discrepancies exist between the satellite’s theoretical position and its actual position. From the atmosphere: Ionospheric delay: caused by charged particles in the upper atmosphere; it varies with solar activity. Tropospheric delay: caused by humidity and pressure in the lower layers of the atmosphere. From the receiver: Internal clock drift Local environment errors: such as multipath effects, obstructions, and interference. Cycle slips: an intermittent but critical source of error A cycle slip is a sudden disruption in the tracking of a carrier phase signal by a GNSS receiver. This typically occurs when a temporary obstacle (such as a vehicle, building, or vegetation) blocks or disturbs the signal, even momentarily. When the signal is reacquired, the receiver resumes phase tracking, but the previous ambiguity is no longer valid—it must be re-estimated. If this detection is poorly handled, it can result in an invisible but long-lasting error. High-performance receivers, such as Proteus, are equipped with automatic cycle slip detection mechanisms and can restart ambiguity resolution algorithms accordingly. Effective handling of cycle slips is critical in complex environments such as urban areas, forests, or cluttered construction sites. Signal processing accuracy: depends on the quality of the hardware and the algorithms used.   Type of error Origin Order of magnitude Satellite clock drift Space segment Up to 3 meters Orbital error Space segment ±2.5 meters Ionospheric delay Atmosphere (50–1000 km) 5 to 50 meters Tropospheric delay Atmosphere (0–12 km) 2 to 10 meters Multipath Receiver / Environment Variable (meters) Internal measurement noise Receiver Centimeter to decimeter level Improving Accuracy: GNSS Corrections To achieve centimeter-level accuracy, GNSS positioning must be corrected. Several techniques exist depending on the use case and operating conditions: RTK (Real-Time Kinematic) and NRTK (Network RTK): use one or more fixed reference stations to provide real-time correction data. The differential correction data are usually transmitted in the RTCM 10403.3 format, a widely adopted standard in professional GNSS systems. Base/Rover: involves a mobile base station that sends corrections to a rover in real time. This method requires solid surveying knowledge for proper setup. PPP (Precise Point Positioning): uses mathematical models to correct various error

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Securing Construction Sites and Stakeout Marking: The Challenges of Working Near Utility Networks

Understanding the Challenges of Working Near Utility Networks Work near underground utility networks involves significant risks. Team safety, meeting deadlines, regulatory compliance… the challenges are numerous and critical. At Syslor, we support field professionals on a daily basis — including public works companies, engineering firms, network operators, local authorities, and industrial players. Protecting Teams: A Vital Imperative Too Many Human Risks Still Persist Every project involving utility networks puts people’s safety on the line. Machinery, trenches, cables, and pipelines expose your teams to real dangers. Damage to networks and location errors are common causes of serious — sometimes fatal — accidents, especially when working near gas pipelines or high-voltage cables. The Importance of Stakeout Marking Accurate stakeout marking and access to reliable plans are the first lines of defense. With intuitive tools, even non-tech-savvy personnel can work safely without compromising alertness. Coordination between surveyors, site managers, and project owners is essential to ensure smooth and secure operations. Preventing Damage to Utility Infrastructure Without precise network location, excavation can lead to serious damage — especially to gas pipelines. Stakeout marking then becomes a critical issue, requiring accuracy, coordination, and the right tools to minimize errors. Maintaining markings throughout the duration of the project is often underestimated, yet it helps prevent delays and unexpected costs. Staying on Schedule and Minimizing Costs Any delay affects user services — water, electricity, internet, and more. Proper anticipation, with up-to-date data and precise stakeout marking, helps reduce costs, minimize disruptions, and speed up service restoration. Better Asset Management to Prepare for the Future For local authorities, having an accurate utility network reference is a powerful asset. Reliable network mapping makes urban planning easier and helps prevent costly surprises. Complying with Regulatory Requirements Working near utility networks involves strict safety and damage prevention rules. For contractors and project owners, it is essential to ensure that every operation complies with applicable procedures — from site preparation to execution. Comprehensive documentation, reliable network location, and precise stakeout marking are key to ensuring both compliance and safety for all parties involved. In summary Secure your worksites, prevent damage, stay on schedule, and meet regulatory requirements — these are the challenges we help you tackle with field tools designed for real-world conditions. You have expectations, we have solutions. Discover how Syslor can support you: Explore our solutions

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Marking and staking with EasyView

An energy network operator cuts the time spent on marking by a factor of 8

Digitalising the marking of underground networks for greater safety and efficiency Operating in the Lorraine Nord, Provence and Pays Basque/Landes regions, a network operator has launched an ambitious project to encourage the adoption of digital staking marking solutions while guaranteeing a high level of safety for its operators and reliability in locating buried structures. Solution implemented: EasyView and Augmented Reality at the heart of the field Syslor supported this customer in the deployment of a complete augmented reality ground marking solution for visualising and tracing buried networks: EasyView. The EasyView solution is based on : The Proteus GNSS receiver for centimetre-level geolocation (class A) The EasyView mobile application for augmented reality viewing of networks directly on site A customised conversion key for integrating GIS data with enriched attributes (type, diameter, depth, etc.) Automated processing of network files: tiling, integration and monthly updates. The solution has been deployed in 3 agencies covering 8 administrative districts, with more than 450 sites marked. Challenges encountered Making operations safer and limiting the risks for operators Digitising buried networks to simplify operations Standardising tools and practices between territories Speeding up the adoption of digital tools by field teams The results achieved The results are indisputable: Marking and staking 2 to 8 times faster depending on the case Augmented reality display of networks even in the absence of a GNSS map Strong support from teams in the field, who don’t want to go back. Testimonials from the field Some customer feedback: “Data loading is fast.”“Significant time saving on marking: 15 to 20 minutes instead of 30 to 40!” “I save up to 8 times the marking time.”“I couldn’t go back. Syslor is an indispensable tool.” “Very useful when you don’t have a background plan!” “When I arrived on site, I knew straight away whether there was gas or not.” Perspectives Extension of use to all branches Complete automation of the GIS process ➝ in the field (provision of data) Progressive enrichment of network data: depth, date of installation, material, nominal diameter. A concrete and measurable digital transformation Thanks to the EasyView solution, this network operator has modernised its approach to marking and staking, while reducing its operational risks. Visualising networks in augmented reality has become a strategic lever for efficiency, autonomy and safety for its teams. Would you like to test EasyView on your worksites? Contact us or request a demonstration.

An energy network operator cuts the time spent on marking by a factor of 8 Read Post »

Marking and staking with augmented reality EasyView Syslor

Augmented reality network marking: feedback from a network operator

The challenge: reliable, fast and accessible network marking in the field When public works are carried out on buried networks, there are many issues at stake: guaranteeing the safety of operators, ensuring the accuracy of staking markings and their maintenance, and reducing intervention costs. Yet in many cases, operators in the field are still working with paper plans, which are sometimes incomplete and often difficult to interpret. The result: errors, extra costs, damage to structures… and a considerable waste of time. To meet these challenges, Syslor has developed EasyView, a solution combining augmented reality and centimetre-level accuracy. Solution deployed: EasyView, the new generation of augmented marking The EasyView solution is based on a triple innovation: The Proteus GNSS receiver for marking accuracy of between 1 and 3 cm, compliant with Class A (CCTA certified) The EasyView augmented reality application for displaying networks directly superimposed on the real environment Automated processing of mapping data to display buried networks With EasyView, a single operator in the field can use his smartphone or tablet to view the condition of buried networks and their attributes in real time, and mark out stakes with an accuracy of 1 to 3 cm. Results observed on site Deploying EasyView has generated measurable and immediate results: Time savings of x2 to x4 on marking and staking Cost savings of 35 to 40% over 3 years on marking services Less damage to structures, so fewer incidents and rework No more paper printouts and optimised travel: a real plus in terms of CSR Operation possible even in a degraded GNSS environment thanks to loading of the map base. Key features used Augmented reality display of buried networks Display of network attributes: type, class, depth, diameter, installation date, etc. Generation of marking certificates for traceability and compliance Offline mode: can be viewed even without a GNSS signal On-site feedback Users praise the ease with which it can be used, the reliability of the markings (comparable to triangulation methods), and the ability to intervene quickly without the need for a paper plan. Inspection visits are made easier, with faster decision-making and immediate checks if there is any doubt about the presence or otherwise of sensitive networks. Some customer feedback: “Marking is as accurate as with triangulation.”“We no longer need to get out the paper plan. It’s all in the phone.” “When there’s an emergency or an unexpected visit, I can check in 30 seconds.” “It’s simple, fast and has saved me from making mistakes.” Score quickly, accurately and independently EasyView is an innovative and proven solution to the challenges of marking and staking underground networks. Thanks to augmented reality, geo-referenced data and an intuitive mobile interface, operators gain in efficiency, safety and autonomy. Would you like to try out EasyView on your worksites? Contact us or request a demonstration.

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