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Serving all of your 3D imaging with
material classification.

Scan anything. Detect everything.

Non-Destructive Testing

GScans Muon Flux Technology (MFT) is equipped with patented reconstruction algorithms and advanced Machine Learning-based 3D modeling tools, which enables the accurate distinction of materials and defects combined with high penetration. Using MFT can lead to more sophisticated assessments and sustainable decisions. 

Our solution will out-perform technologies and providing the following improvements over current methods:

  • Decreasing the results interpretation complexity 

Autonomous detection of objects and materials combined with geometric data removes the need for human-interpretation of results. Utilizing machine learning methods (LDA for atomic analysis, GAN for object detection), the system is ever-learning and improving, as well as cloud-ready, linking well with the overall IoT development and the need for keeping the spectra libraries always up to date

  • Increasing the reliability of results

The resolution of the imaging proportion of MFT-systems is comparable, hence no losses are present for MFT-systems in a direct comparison of 3D imaging performance.External conditions like moisture content or thickness of cover materials or inspector skills do not affect the results of MFT measurements as it is fully passive and only needs to be located in the correct position. With more reliable data it is possible to use more sophisticated calculation models for structural or durability assessment.

  • Diversity of use

Due to the lack of artificial source or environment related limitations, MFT-based technologies are incredibly well scalable – the interrogation volume is limited by imagination, not the technology MFT can be used in investigating different materials including concrete, steel, timber, masonry and other novel inventions. Combining the scanners to a modular system, it can be used also as a quality control method for construction works.  

In general, the MFT can be used as a single technology and the confirmation of the diagnosis or reduction of measurement noise is not needed.


GScan technology provides completely new technical possibilities for the field of defense as well. Since the GScan scanners are capable of detecting materials and various objects inside other objects, our first solutions in the field of defense are the following.


Force protection

GScan’s MFT based automated security gate solutions enable autonomous detection and classification of various threats, for example explosives, weapons and nuclear materials. MFT scanners use only natural radiation and thus no radiation safety restrictions apply for scanning humans, medicines or food. The data from detectors is processed using patented algorithms and includes customer specific object/material library options. All this combined equips the defense forces with high efficiency, autonomous, accurate & safe threat detection and localisation solutions for usage in army bases, military airports and other high security checkpoints. 


Battle damage assessment

GScan’s muFLUX AI Infra measurement and condition assessment solution provides defense forces with the ability to accurately determine the damages of heavy-duty vehicles, including armored personnel carriers, tanks and trucks, after a battle situation. GScan scanners can also locate hazardous materials in various temporary or permanent structures. For example, buildings used for military activities, bunkers, shelters, trenches etc.


GScans’ Muon Flux Technology (MFT) security scanners will revolutionize screening procedures everywhere, where reliable, precise and autonomous detection and identification of dangerous or illegal goods is needed - ports, border checkpoints, defense sites, airports etc. Due to the safety of our technology for living organisms, our scanners can also be used to prevent human trafficking.

GScans’ MFT security scanners can evaluate the chemical composition and shape of the scanned cargo and make a calculated decision. We can offer our customers solutions with all shapes and sizes, and have a standard products lineup of small, medium and large scanners. This enables us to fit into use case scenarios starting from scanning parcels/mail in postal centers to full-sized sea containers in ports.


GScan’s MFT security scanners solve the current problems through:

  • Using high-penetration cosmic rays: GScan gathers a wider spectrum of spatial and chemical information that the current technologies are physically unsuitable for

  • Providing high resolution 3D imaging and chemical analysis: ensuring that all the possible information related to the object of interest is extracted

  • Being harmless to living organisms: the technology can be used for scanning humans, food and live animals

  • Being autonomous: GScan’s systems can be used on site with the uptime of 24/7, first level assessment will be done by the system autonomously with no operator needed

  • Being flexible: GScan’s modular detectors allow it to create any configuration required. Modules can be installed into existing infrastructure (gates, access barriers etc)

  • Being reliable, precise and easily interpretable: the scanning results are formatted in a way that provides the customers with the information they need the most

  • Being easier to use and more effective with lower OPEX

Flux Infra

Application: Non-Destructive testing (NDT) for infrastructure inspection and monitoring

Volume: 1.7m x 1m x 0.4m single MFT module, possibility of combining into a maximum of 10x10x20m³

Flux Small

μFLUX Small AI

Application: Parcel scanning for borders, customs, airports, parcel centres and much more! 

Volume: a maximum of 0.75×0.75×1.5 m³, using 4 sensor modules

Flux Medium

μFLUX Medium AI

Application: Scanning aviation cargo, customs and border applications for passenger cars, security gates

Volume: a maximum of 3×2.5×6 m³, using 20 sensor modules

μFLUX Large AI

Application: Scanning trucks and shipping containers in customs and ports

Volume: 20ft container, using 60+ sensor modules

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