Geospatial industry is a relatively young industry which involves a variety of sensors. If we look at the growth of the geospatial Industry from being introduced by satellite and now, with the inception of drones, it has taken a rocket flight. With lesser distance, more precise datasets can be captured in real time. This technological shift has shortened the data capturing distance and relatively increased the number of use-cases for various industries that was not possible via satellite. Now as data points are increasing, there is a need for accumulating, storing, visualizing and using this data.
Upcoming innovations in geospatial industry are playing a crucial role in providing engineering intelligence solutions. Many other heavy industries such as Township Development, Infrastructure, and Mining are in a dire need of such digital intervention. Geospatial is not only becoming a by-default for new trades but also for the established industries. For instance, in the infrastructure sector, it is providing alignment layouts for the construction of highways and railway tracks. In agriculture, we can collect critical datasets like pest affected crops by conducting a topography survey with the precision of 5 cm. Similarly, in areas like urban planning and VIP movement, which demands precise data of higher resolution, we are playing an important role.
Miniaturization of sensors
The industry is bound to grow big with the miniaturization in the sensors/hardware industry, and the market shift to drone innovation and miniature technology will take it a different level of success.
Our focus at Indshine is on providing insights and analytics for efficient planning, monitoring and inspection across various industries using drones, satellites and other sensors. With our collaborative web platform, users can harness the power of remote sensing and artificial intelligence. We seek to innovate on analytics on our platform to increase the utility of the data set. To begin with, we are working on building a panel with a set of tools to maintain the repository, which can then be used for predictive analysis over time.
The future geospatial industry will demand the utilization of the innovation in sensors and data points. Here, our services will partake the role by connecting the hardware/sensors which is the source of generating data points to the use cases in the industry and further enabling it through our AI analytics platform. We are also exploring integrations of Building Information Models (BIM) with geospatial data on our cloud platform.
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