Detecting and Surveying Systems

Most of the applications of drones in civil infrastructures require the incorporation of detecting or surveying systems.
  • High resolution visual cameras are the most popular one for they can be used to, not limit to, monitor construction site and inspect infrastructures.
  • Thermal cameras are another choice to survey or detect while vision field is constrained, such as places with illumination issues or inaccessible buildings.
  • Impulse thermography is a non-destructive investigation method that suits well for detecting voids in concrete structures.
  • Instead of collecting the passive thermal heat flux, impulse infrared thermography from UAVs could provide information about structural degradation with enhanced accuracy.

Roads, Highways & Railways

Post-Data Processing Systems.

Besides conventional post-data processing system, innovative ways are used in extracting information. Machine learning is an arising approach in dealing with large amount of data. For infrastructure planning and design, typical data acquired through drones are images. 3D geometrical models can be generated from these images through manually method or semi-automated algorithms.
For construction monitoring, either real time videos or 3D models are needed. As for infrastructure inspection, machine learning and deep learning algorithms are employed. Deep learning models are used for crack damage detection in UAV images with concrete cracks with 97.7% specificity and 91.9% sensitivity (on an average) from UAV video. Additionally, color and texture algorithms can be developed to detect missing or deformed structural members and
corrosion. Many available commercial software and algorithms are adopted from other fields to deal with large amount of data gained from drones

Post-Data Processing Systems.

Besides conventional post-data processing system, innovative ways are used in extracting information. Machine learning is an arising approach in dealing with large amount of data. For infrastructure planning and design, typical data acquired through drones are images. 3D geometrical models can be generated from these images through manually method or semi-automated algorithms.
For construction monitoring, either real time videos or 3D models are needed. As for infrastructure inspection, machine learning and deep learning algorithms are employed. Deep learning models are used for crack damage detection in UAV images with concrete cracks with 97.7% specificity and 91.9% sensitivity (on an average) from UAV video. Additionally, color and texture algorithms can be developed to detect missing or deformed structural members and
corrosion. Many available commercial software and algorithms are adopted from other fields to deal with large amount of data gained from drones

Contact Us

UAV based cadastral surveys are a game changer in creating right-of-way, road and railway alignments and land acquisition. These were tasks that normally involved large teams of surveyors spending months moving across the land conducting theodolite and cartography-based studies. Today prospecting studies are completed in one-third of the time and at a fraction of the cost as before. Further the surveys are based on actual “Line of Sight” allowing for 100% accurate identification of land parcels when co-related with software, allowing for tamper-proof delineation of lands to be acquired. Today, aerial surveys are used as a project monitoring mechanism and as a means of project audit. Our services in this sector include.
  • Our services in this sector include
  • Aerial surveys for greenfield route mapping
  • Mapping Right of way to land record grids
  • Project progress tracking and completion audits
  • Remote monitoring of elephant and animal corridors for National Green Tribute compliances
  • Assets tracking of building materials as also dozers , dumpers etc.
  • Yard management
  • Accident site monitoring
  • Signalling and track health monitoring
  • If you have any questions, order a free conversation with our consultant

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