Geokno’s core strength lies in our capability to excel in developing technologically complex solution through focused teams in understanding consumer requirements, formulating the process stream and scheming revolutionary products in GIS industry. Innovative, safeties, environment-friendly and cost effective are our key rules to bring high quality results. Our main goal of research is to advance the present system better than the prior one. This has prompted us to develop products that have a distinct edge over existing products in the market.
The company’s research commitment usually is around 40% of its revenue. We regard our Research & Development (R&D) capabilities as a vital component of our business strategy that provides a sustainable, long-term competitive advantage. With over 4 years of R&D experience, we have multi-disciplinary R&D departments with cutting-edge enabling technologies for innovative research. We have a pool of highly qualified R&D experts with a varied knowledge base and global exposure covering all areas of GIS research.
Through its close cooperation with industry partners over the years, Geokno has played a decisive role in LiDAR Mapping, Aerial & Close Range Photogrammetry and WebGIS in India and other nations. Today, Geokno still maintains close links with industry leaders and signing cooperation agreements. We have strong alliances with external research institutes, in particular Indian Institute of Technology Kanpur, 3DLaserMapping and Optech.
Geokno seeks to develop innovative technologies, knowledge, and infrastructure to support decisions for modern GIS mapping technologies, hardware engineering and GIS application development. Through your research experiences at Geokno, you’ll discover more than just facts and figures, you will discover yourself and your future career. Geokno offers many programs and opportunities to engage students, researchers and technologists in exciting research collaborations.
In the world of GIS , to model reality most clearly, it certainly makes sense to map what we actually experience. Traditional GIS models the world in 2D and 2.5 D dimensions. Modelling the world in 3D, 3D GIS could prove a very persuasive tool in the hands of city planners , urban designers , and traffic engineers. The potential is definitely there to do a lot more than interesting perspective view of remotely sensed data. Still there are some problems that need to be addressed in the transition from 2D GIS to 3D GIS , at Geokno R & D department efforts are being made to address these issues and innovation is being made to develop Standards for 3D GIS Services and application of these developed standards to various domains.
Development of Robust Architecture for 3DWebGIS
To provide a roadmap for standardization of 3DGIS web services.
3D visualization over internet
Terrain Rendering and 3D model rendering over internet using WebGL technologies.
Extend 2D GIS web services into 3D GIS.
Development of Desktop based 3D LiDAR visualization and analysis software
Completely standalone software thus minimizing hassles of multiple software systems
Cost effective LiDAR Viewing, Editing and analysing software.
Development of 3D TIN and contour generation tool for Mining GIS Applications.
Process 3D LiDAR point cloud of Open Pit mines
TIN and Contour generation
Volumetric Calculation and Reports generation
Development of a Framework for Preparation of Airport Obstruction Charts using 3d GIS techniques.
Structural health monitoring.
Civil infrastructures, like chimney, highways, bridges, airports, seaports, railroads, water management systems, oil and gas pipelines, are of paramount importance for economic and industrial development. These systems are characterized by high costs, strong impact on the safety and quality of life for large communities and long operative lives. Their proper management requires, consequently, the adoption of carefully selected policies developed taking into account the delicate balance between potentially conflicting requirements like, for instance, achieving high safety standards and limiting maintenance costs. Moreover, some specific events like earthquakes, floods or tornadoes can lead to very critical decisions in ascertaining the integrity of surviving structures and their suitability to fulfil their intended role. Similar problems afflict the evaluation of the state of structures built during the last century and of ancient buildings inside large cities, exposed to the stress caused by the increase of surface and underground urban trans-port systems. The relevance of these problems is not limited, however, to the evaluation of the state of structures potentially damaged by traumatic events; the advanced technologies implemented in the realization of new projects, for instance, buildings with active seismic response control systems are even more demanding since they require a proper monitoring concerning the whole operating life of the structures.
Microelectromechanical Systems (MEMS) Sensors.
Sensors utilizing microelectromechanical systems (MEMS) are another recent technology development in the field of structural health monitoring. One of the significant advantages of MEMS sensors is the ability to both sense and actuate. This means that within the same device data can be collected and partially processed before being transmitted. This is usually done by including an on-board microprocessor within the sensor system which can be used to convert the signal to digital, perform basic calculations, or provide interfacing functions which can greatly reduce the amount of data processing required. MEMS sensors also have the benefit of miniature size, so they are applicable in situations where typical sensors are too large. The common manufacturing process for MEMS devices also presents the possibility of large scale productions with relatively low cost. One application found in research is a MEMS-based transducer to be used for acoustic emission detection. This type of acoustic emission sensor could include multiple transducers, each with a narrow and highly sensitive resonant frequency, which together still cover the frequency range of interest. This could help the process of differentiating environmental noise from actual stress waves caused by acoustic emission events and greatly improve the accuracy overall. MEMS-based strain sensors have also been developed using piezo-resistive principles which could improve resolution and sensitivity as well as consume less energy than common strain gages.