Wednesday, January 17, 2024

3D NATIONWIDE COVERAGE: A REVOLUTIONARY LEAP IN CONNECTIVITY

 In the fast-evolving telecommunications landscape, the pursuit of superior coverage and connectivity has led to groundbreaking innovations. One such paradigm shift is the adoption of 3D technology to achieve nationwide coverage, heralding a new era in wireless communication. This innovative approach transcends traditional 2D models for Regional planning, offering a more immersive and accurate representation of our surroundings.

3D model of Vienna, Austria

Telecom companies can benefit enormously from accurate 3D maps when planning to roll out 5G networks and need to know about the density and height of buildings in large areas (as well as other obstacles such as trees and topography). This information can help identify the best location for cell towers.  

Let's delve into the key aspects that make 3D nationwide coverage a transformative leap in connectivity:

1. Precision in Network Planning:

3D mapping technology provides unparalleled precision in the planning and deployment of wireless networks. By incorporating detailed 3D models of cities, towns, and rural areas, telecommunication companies can strategically position antennas and base stations to optimize signal strength and coverage. This precision ensures efficient utilization of resources and enhances the overall performance of the network.

Precise and up-to-date geodata ensure the relevant information to estimate all the possible outcomes and make a better decision.

Our 3D BUILDINGS AND 3D TREES provide a high level of detail, in both urban and rural areas. 3D data creates a complete digital twin of the country along with other layers of geodata used for regional planning:

  • Street-road networks
  • Railways
  • 3D Bridges
  • Terrain
  • Hydrography
  • Land use
  • Population density
  • Geodata is delivered in the formats of most GIS and radio planning tools.

2. Enhanced User Experience:

The shift to 3D nationwide coverage is not only about technical advancements but also about improving the end-user experience. With a more accurate representation of the environment, users can expect seamless connectivity and enhanced services. Whether in urban jungles or remote landscapes, 3D coverage ensures a consistent and reliable connection for users across the nation.


3. Addressing Topographical Challenges:

Traditional coverage models often struggle to address topographical challenges, especially in regions with varied landscapes. 3D mapping technology, powered by advanced algorithms, can adapt to diverse terrains, providing optimized coverage even in geographically complex areas. This adaptability is crucial for achieving comprehensive nationwide coverage.

Our research and development teams have combined our GIS expertise with advances in artificial intelligence. This combination provides a tool that makes it easy, fast, and cost-effective to create 3D models of cities, towns, villages, and even remote areas – anywhere on Earth.

4. Future-Proofing Connectivity:

As we enter the era of 5G and beyond, future-proofing our connectivity infrastructure becomes imperative. 3D nationwide coverage not only meets the current demands for connectivity but also lays the foundation for the seamless integration of upcoming technologies. This forward-looking approach ensures that our communication networks remain at the forefront of technological advancements.

 Currently, 3D countrywide coverage is available for:

UAE ▪ TURKEY ▪ BAHRAIN ▪ CROATIA ▪ CZECH REPUBLIC ▪ GREECE ▪ SLOVAKIA ▪ MEXICO ▪ TAIWAN ▪AUSTRIA ▪ MACEDONIA ▪ VIETNAM ▪ THAILAND

Our Case Study: 3D Nationwide Coverage Based On AI Algorithms

We offer accurate 3D buildings and vegetation data as important components of multiple applications for urban planning, utility planning, and environmental management including solar energy assessments where the development of the pitched roofs is required.

3D geodata are useful for the range of markets:

  • Logistics
  • Retail and marketing
  • Fiber deployment
  • Property development
  • Solar energy
  • Disaster recovery
  • Environmental management

Tuesday, July 26, 2022

3D GEODATA FOR SOLAR RESOURCE ASSESSMENTS



Solar energy is used worldwide and currently, we are witnessing an increasing trend in its usage for generating electricity and heating/desalinating water.

Today, Photovoltaics (PV), also called solar cells, is one of the fastest-growing renewable energy technologies and is ready to play a major role in the future global electricity generation mix.

Solar PV installations can be combined to provide electricity on a commercial scale, or arranged in smaller configurations for mini-grids or personal use. Using solar PV to power mini-grids is an excellent way to bring electricity access to people who do not live near power transmission lines, particularly in developing countries with excellent solar energy resources.

SOLAR ROOF PV POTENTIAL MODELLING

Solar resource assessments are a core method for developing and deploying solar energy plants. In turn, 3D buildings and 3D vegetation are key initial sources for evaluating solar resource availability and running solar energy simulations.

High-accuracy 3D datasets provide high solar project value and increase its performance. Precise and up-to-date geodata ensures the relevant information to make a better decision. Data details, accuracy, and relevance are critical parameters for solar resource assessment and modeling.

LOD3 3D buildings manufactured by Visicom for solar energy projects involve such small elements as roof furniture, elevator shafts, towers, spires, and also sloping roof elements.

The assigned parameters:

  • azimuth
  • tilt angle
  • area of flat parts
  • roof height

are calculated for each element separately, creating the background for producing solar rooftop maps (solar cadaster). The high accuracy of the building elements' footprints is tailored specifically to the estimation and calculation of the solar energy potential for each roof.

SAMPLE OF DATA FOR ROOF SURFACES




PREVIEW OF FINAL BUILDINGS DATA





To create a 3D data set for large areas where solar stations are planned to be installed, LIDAR data are used among other sources. It is possible to achieve completeness and precision of ≥85% if the density of LIDAR points is more than 8 per one sq.m, and ≥90% if the density of LIDAR points is more than 15 per one sq.m. Due to the precise setting of the threshold coefficients used in the recognition of obstacles, our LIDAR processing algorithm allows us to recognize buildings and the main elements of roofs, allocate tree crowns, and restore the structure of buildings closed by crowns. After recognition and vectorization, the necessary attributes of roofs, heights, area, and slope of the roof elements are assigned to the buildings and trees.

Automation of the process of buildings recognition allows us to quickly produce high-quality 3D data sets for large territories in urban and suburban areas.

3D BUILDINGS SET BASED ON LIDAR DATA PROCESSING

A complete set of 3D data may include DTM, DSM, building footprints, and vegetation crowns as 3D .shp multipatch dataset.

Monday, November 23, 2020

 

DIGITIZE THE WORLD USING AI

VISICOM BUILDINGS FOOTPRINTS

Today, Artificial Intelligence (AI) has entered the everyday life of many companies in the world, from sorting parcels to writing program code and launching rockets into space.

Visicom team are also in trend, and therefore developed and implemented the technology of recognizing satellite images based on AI, or to be more accurate — machine learning (ML), which analyzes each pixel and determines the class to which a particular pixel belongs and accordingly transfers data from the raster to a vector with corresponding attributes. Below is more about our achievements.

AI BUILDING FOOTPRINTS — PRODUCT FEATURES:

· Automated production (99% of buildings > 25 sq.m matched automatically by the machine learning algorithm)

· Completeness (achieved 100% coverage due to manual post-processing and validation)

· 3m SE90 accuracy

· Rapid production of countrywide building footprints dataset

· Available worldwide

· Based on up-to-date satellite images with 0,3–0,5m resolution


Satellite Image
Satellite image

Production stages:

1. Preliminary stage:

Producing of buildings etalons including the imagery and resulted output of buildings collected manually with 3m CE98 accuracy. Etalons must include the most common building types of the target area.

For each territory with the related building, the type must be used its own database of etalons and input parameters with the precise coefficients that worked well for a similar area.


1st output from the recognition
1st output from the recognition
2. Artificial Intelligence and Machine Learning stage:

· Image segmentation process (U-Net convolutional network for satellite/aerial image segmentation)

· Applying the threshold coefficients for identification of buildings layer

· Buildings pattern recognition using deep learning algorithms

· Raster outputs by a neural network

· Validation of the resulting output by engineer

· Calibration and changing the input parameters for the neural network (changing the coefficients, color patterns, geometric patterns, adding more etalons in the database).

· The cycle could be repeated a few times from the start to achieve the desired 3/5m CE90 Planimetric accuracy.

3. Generation of vector building footprints from raster

Vector building footprints generated from raster

4) Automatic procedures for the orthogonalization and geometrically correction of vector building footprints.


The building footprints vector automatically orthogonalized and geometrically corrected

5. Adding height values into building footprints — Assignment of building heights into building footprints.

6. Manual postprocessing of recognized building footprints: final verification, correction, and checking of the buildings dataset both, geometry and heights.


Finalized building footprints in vector

7. Depending on the project’s needs (technical accuracy requirements) the LOD1 building footprints could be updated into LOD2 models representing buildings and roof details with multiple heights.

8. Integration of the building footprints layer in the final product (3D city map, Digital Surface model, Clutter Heights map, City population map)


And finally, we have the 3D city model of Newcastle (Australia)

Building footprints can be used in multiple markets:

  • telecom,
  • geomarketing,
  • WEB/GIS applications,
  • urban and cadaster planning,
  • military, environment, utilities, flight simulation.

Visit our web site visicomdata.com to learn more about our geospatial products for Telecom and GIS markets.

CONTACT US FOR FREE DATA SAMPLE

Tuesday, April 7, 2020

From Image to Georeferenced Reality



Did you know that although the first image from space was taken in 1946 and Landsat sensors have a commercial use since 1980, sub-meter imagery has been actively used only for the last 15 years?


More than 12 sensors with the resolution from 0,25m and better are currently commercially available on the market, which leads to a constant increase of capability for further detalization of digital mapping products. Owing to the usage of AI/ML technics for imagery processing, the increasing data amounts can be processed and Geocode reference data can be extracted not only for precise city map but also for modeling at a countrywide scale.

2D City map with addresses
The Geocode reference data bring a complex representation of reality and utilizes all available location data into the united homogeneous model. It also can become a crucial factor in Telecom/Urban Planning/GIS and Web-application empowering the market needs with extra accuracy. Application of precise and more detailed geodata opens new opportunities for the implementation of new 5G services, gives an ability to conduct a realistic accurate mapping for Telecom, GIS, Simulation markets.



Visicom Georeferenced digital models for such challenging sectors like Urban planning, Countrywide planning for Telecom, IoT, web-applications etc., including Linear, Polygon and Point Reference Datasets, which in the context of scalable digital maps, mean:
•          Countrywide maps: accurate and detailed land use (clutter) classification, administrative and settlements boundaries with assigned names, zip-code (postal code) boundaries, population distribution model, POIs, address data.
•          City maps: heights/floors attribute, classification of buildings by general types, adding the accurate rooftop address data (both in English and in local language), postal code attributes and POIs for buildings; names and navigation attributes for roads.



    ROMANIA CASE STUDY                                                                            UAE CASE STUDY

    ... or, for more interesting information, just visit our web page https://visicomdata.com

Thursday, August 22, 2019

MAPPING ALL OF VIETNAM


The Vietnam nationwide coverage created by Visicom includes:
  • 331210 sq.km of Regional countrywide model;
  • 3D models of 74 Vietnam cities;
  • Population maps of all Vietnam;
  • Population maps of all 74 cities;
  • Geo-database with semantic infrastructure information: 314 532 POIs.
In order to complete the project and ensure the required accuracy it was bought over 95 stereo-pairs of satellite imageries with 0.3-0.5 m/pixel resolution. Accurate and reliable spatial orientation of them was made based on the set of 200 GCPs (Ground Control Points).

3D CITIES - KEY FIGURES:

  • Total area - 5053 sq.km;
  • Buildings quantity: 12,000,000;
  • Roads network: 75 000 km;
  • 2 m resolution of DTM, DSM, Clutter, Clutter heights;
  • 2-3 m accuracy in all parameters.
The vegetation layers and their heights were captured using the recognition algorithms which are based on the artificial intelligence (AI), in particular neutral networks. 

The geo-database might be used further across multiple industries where relevant and up-to-date information regarding the built-up territory is needed:
  • Urban planning environmental management;
  • Transportation;
  • Risk mitigation; 
  • Emergency response;
  • Infrastructure rollout, etc. 

DATA FORMATS

The data are compatible with any RF modeling tool including: Atoll/Mentum Planet/Asset/ICS Telecom/ESRI ArcGis  etc.

The data samples are available for free  https://visicomdata.com/samples?lang=en#vietnam

Tuesday, July 9, 2019

5G POWERING FUTURE CITIES


5G will unleash the potential of smart cities and IoT, bringing together all people and all things, speed of networks will increase several times, the bandwidth of the network will also increase, and new opportunities will be opened for coverage not only in densely built-up areas of the city but also in villages and the suburbs.

In the near future, most of the various devices will be available online, Internet will provide multimedia services, IoT solutions and alternative / extended realities. These new technologies are already reflected in many aspects of human life; in the future, they will become a part of our normal life: energy, production, business, transport, manufacturing, public, safety, etc, says Dr. Volodymyr Kolinko, CEO, Visicom company, Ukrainian Geodata manufacturer.

Link of the article - https://www.geospatialworld.net/article/5g-and-geospatial-will-together-power-future-cities/

You can download a free PDF file of this article - https://visicomdata.com/raw?id=15517&lang=en

Friday, May 24, 2019

VISICOM AND 5G: BIG NEW GENERATION




5G (fifth generation) it is the abbreviated name of the fifth-generation mobile communication, which is able to replace the present 3G and 4G. This abbreviation hides a whole set of technologies, many of them are still under construction. The completion of the testing part and approval of standards is anticipated prior to 2020.

The implementation of the fifth generation of mobile networks guarantees to become a revolutionary breakthrough in communications because of subsequent innovations:
  • New ranges
  • Network slicing
  • D2D (Device-to-device)
  • Massive MIMO Technology
Company Visicom creates its own maps taking into considering all the features of the fifth generation of telecommunication networks. 3D maps for 5G planning - this is the type of maps that produced specifically for the fifth generation of networks, inside of cities. 

5G network planning in suburban areas near the big megapolises and rural areas has faced new challenges that have an effect on planning processes. In order to meet the extended requirements regarding map accuracy, we propose to upgrade existing 2D into 2.5D Models with additional Clutter Height Layer.

At higher frequencies (including the mmWave bands), the signal propagation is greatly impacted by manmade and natural obstacles, therefore, the usage of cmWave and mmWave frequencies is an important component of 5G technology.


Contact us to learn more information about geodata.

Our geodata portfolio includes over 1500 cities across 120 + countries.


Friday, April 19, 2019

5G AND GEOSPATIAL DATA


Prediction of radio wave propagation with Wireless InSite propagation model – a product of our partners Remcom (https://www.remcom.com/wireless-insite-em-propagation-software) – based on the Visicom 3D model tailored to 5G.


Bearing the development of telecommunication industry in mind, it is most certainly that in the nearest future a huge amount of various devices will be available online providing multimedia services, alternate/augmented realities, IoT solutions. Such innovations are already featured many aspects of human activities; further, they will become part of our ordinary life:  transport, energetics, healthcare, manufacturing, business, public safety etc.

Currently, the radio-planning processes are in progress serving as a foundation for 5G-networks widespread implementation and ensuring their dynamic development. Global mobile operators and vendors swiftly move from testing and trials to launching, generating new rules and technical requirements, simultaneously reducing the costs.

The main benefit of 5G networks is their ability to carry an enormous amount of data, which is possible due to high-frequency radio waves they are based on. On the other hand, such mm-wave frequencies are substantial impacted when they face either small obstacles. 3D Geodata as a model describing the environment serve as a basis for 5G planning. Because of the sensitivity of radio waves it is necessary to have an adequate level of maps detalization, which tends to grow – buildings are described with roofs features, pipes, air conditioners, spires, sloping roofs; vegetation, which also can affect the signal propagation, is represented starting from solid bodies with average height to 3D separate trees with crown and trunk features. All these trends motivate geodata providers to invest more into R&D creating new technologies for 3D data processing; to design deep neural networks; to implement machine learning architectures for satellite image classification, segmentation, and comprehensive automation of all obstacles processing and visualization.

The geodata suppliers are promptly adopting to the growing demands announcing the extending production capabilities and technologies. On the other hand, the amount of such detailed 3D data is increasingly enhancing, thereby outpacing the potential of planning tools to handle them. Now some tool vendors are actively working on this, so, once the new advanced algorithms are available, the next great stage in 5G planning enabling ultra-high speed and ultra-low latency will be in service.

5G will make networks several times faster, increase networks capacity, open possibilities to cover not only dense built-up territories in cities but suburbs and villages, and it will really unlock the potential of IoT and smart cities development, connecting all people and all things.

“The most interesting things in this way are all new possibilities and services, that we are not able to predict yet” – said the CEO of geodata provider company VISICOM (Ukraine), Dr. Volodymyr Kolinko – “and our company is ready to support all aspects of new generation networks development, since geospatial data and mobile networks are of crucial importance to each other and to their mutual future”. 

Learn more about 5G: https://visicomdata.com/products/geodata_for_5g_planning?lang=en
Learn more about geospatial data: https://visicomdata.com/products/geospatial_data?lang=en


Tuesday, April 9, 2019

3D/2D GEODATA FOR UNITED ARAB EMIRATES


3D/2D GEODATA FOR UNITED ARAB EMIRATES - HIGH-QUALITY PRODUCT TAILORED TO YOUR PROJECT AND BUDGET

3D and 2D models of major cites cover the most populated and built-up areas of the UAE.
1500 sq.km of advanced accuracy 3D map produced for accurate planning of 5G networks
Nationwide coverage is available with 20m and 10m resolution.

Our geodata provides precise knowledge about the 3D environment in order to help operators design and improve the performance of their networks. Visicom’s advanced mapping products support any RF tool (Atoll, Asset, Planet, Mentum Planet etc.)

3D maps of 7 UAE capitals are the mainstay for various applications in urban planning:
  •          Smart City
  •          Environmental management
  •          Utility planning
  •          Architectural projects
THE PRECISE GEOMETRY, HIGH-RESOLUTION 3D BUILDINGS AND VEGETATION, ROAD NETWORKS, TERRAIN DTA AND LANDSCAPE FEATURES PROVIDE COMPREHENSIVE VIEW OF THE CITY.

Read more: https://visicomdata.com/projects/3d_maps_of_uae_cities?lang=en

Tuesday, April 2, 2019

SUPPORT FOR 5G PLANNING


We understand the precise geodata requirements to design next-generation networks in mmWave frequencies range. Based on our 20-year experience we always offer you the most cost-effective solution for any territory fitted to your budget. Explore our pilot projects for 5G planning over the world.