Mobile Mapping System
"Transforming Movement into Measurable Data."
Introduction:
“To be the leading provider of dynamic, high-precision mobile mapping solutions that empower industries to visualize, analyze, and utilize spatial data with unmatched accuracy, efficiency, and reliability.”
Mobile Mapping Systems (MMS) are advanced data collection platforms that integrate various sensors onto mobile platforms, typically vehicles and Backpack to capture geospatial data in motion. These systems collect high-resolution spatial information quickly and efficiently over large areas, making them invaluable for modern surveying and mapping tasks.
Our mobile mapping sector at SOBEK® specializes in advanced data collection and geospatial analysis, leveraging advanced sensor technology, GPS, LiDAR, and high-resolution cameras, by combining high-resolution imagery, 3D point clouds, and precise GPS data, utilizing state-of-the-art mobile mapping systems and LiDAR technology to provide innovative, reliable survey solutions and high-accuracy spatial data for clients in various sectors. At SOBEK® we deliver comprehensive, scalable solutions for complex mapping projects. our mobile mapping systems capture, process, and analyze data with unmatched precision and speed.

Technology and Innovation:
Our fleet of mobile mapping vehicles and Backpack wearable is equipped with the latest LiDAR sensors, GNSS systems, and imaging technology to ensure reliable data acquisition in any environment. Through our commitment to continuous improvement, we integrate the latest advancements in AI and machine learning to optimize data analysis and reduce project timelines.
Our Key services and application:
We are using the high-resolution panoramic images and the accurate geospatial data which collected from MMS for various industries specially, land surveying industry such as Boundary Surveys, Topographic Surveys, Construction Staking, Geodetic and Control Surveys, As-Built Surveys, Urban Infrastructure Mapping, Highway and Roadway Surveys, and Environmental Monitoring. In our last projects, we already used our MMS system to Auto-detect VISUAL POLLUTION features in many cities in Saudi Arabia and we have a great experience in that field of MMS survey.
We are using different scanners from our globe partners which have a wide range and huge point density, real-time data processing and can easily integrate with other technologies. These systems are Compact and efficient for quick and accurate 3D scanning for detailed analysis and interior-exterior 3D Modeling.
The huge data which is collected by our MMS field teams often requires extensive post-processing to be useful. However, advancements in cloud computing and edge processing are making it possible to analyze data in real-time which will allow for immediate validation and correction of data, ensuring higher accuracy and reducing the need for re-surveys. This capability will be particularly beneficial in time-sensitive applications for effective decision-making.
That’s our favorite part, Integrating GIS with mobile mapping systems provides numerous benefits that enhance the accuracy, efficiency, usability of spatial data. GIS integration allows data collected by mobile mapping systems to be visualized in layered, easy-to-understand maps, GIS provides powerful tools to align and calibrate data, ensuring that mobile mapping data is accurate and consistent.
GIS platforms facilitate easy sharing of mobile mapping data across different departments, teams, or stakeholders and can integrate with other data platforms, such as CAD, BIM, IoT sensors, and remote sensing data, enhancing the value of mobile mapping. This integration enables better collaboration and communication, particularly in large-scale projects.
Using High-resolution cameras are also evolving, with improvements in image quality, dynamic range, and the ability to capture data in various lighting conditions. These advancements will enhance the visual documentation aspect of mobile mapping, making it easier to identify and analyze features in the collected data, accurate mapping for roads and bridges, utilities for effective asset management, and urban planning. We used our MMS to survey all the assets of the National Water company in Saudi Arabia, making 3d models, providing a GIS database and providing solutions for sustainable improvement.
Integration with Artificial Intelligence and Machine Learning:
Artificial intelligence (AI) and machine learning (ML) are poised to play a significant role in the future of mobile mapping. AI algorithms can automate the processing and analysis of vast amounts of data collected by MMS, identifying patterns and features that would be challenging to detect manually. AI can be used to automatically classify and segment point clouds, detect changes in infrastructure, and predict potential issues before they become critical.
Machine learning models can also improve the accuracy of MMS by learning from past data to predict and correct errors in real-time. This continuous learning process will enhance the reliability and efficiency of mobile mapping systems, making them more robust and adaptable to different environments and conditions.

Sustainability and Environmental Impact:
The future of mobile mapping also holds promise for sustainability and reducing environmental impact with efficient survey methods, with their ability to collect large amounts of data quickly and accurately, can minimize the need for repeated field visits and reduce the overall carbon footprint of surveying activities. Moreover, the detailed data provided by MMS can support environmental conservation efforts by enabling more precise monitoring and management of natural resources. This can lead to better decision-making and more effective strategies for preserving ecosystems and biodiversity.

Client Commitment:
We are dedicated to understanding and exceeding client expectations, ensuring the delivery of high-quality data and exceptional service. Our experienced team of geospatial experts brings deep technical expertise, provides full project support, from planning and data acquisition to processing and interpretation.

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