Cybertronics Geotech Pvt. Ltd. ’s cover photo
Cybertronics Geotech Pvt. Ltd.

Cybertronics Geotech Pvt. Ltd.

IT Services and IT Consulting

Dehradun, Uttarakhand 1,290 followers

To Offer The Exceptional

About us

Cybertronics Geotech is a leading provider of cutting-edge technologies and services, offering scalable solutions for businesses of all sizes. Founded by a group of friends who started by scribbling their ideas on a piece of paper, today we offer smart, innovative services to clients worldwide. We serve a variety of purposes related to geographic data collection, analysis, and visualization. We leverage technology to create, manage, analyze, and present spatial information in the form of maps and visualizations. Some key services are Spatial data collection, data management, mapping and cartography, spatial analysis, urban planning and development, transportation and logistics, utilities and infrastructure management, cadastral mapping and many more. Why not join our fast-growing client base? Get in touch today to learn more.

Industry
IT Services and IT Consulting
Company size
11-50 employees
Headquarters
Dehradun, Uttarakhand
Type
Privately Held
Founded
2023
Specialties
GIS, IT, Mapping, and Survey

Locations

  • Primary

    Sahastradhara Road

    Near IT PARK

    Dehradun, Uttarakhand 248001, IN

    Get directions

Employees at Cybertronics Geotech Pvt. Ltd.

Updates

  • The GIS industry significantly benefits from drone technology because UAVs make geospatial data collection less expensive and more accessible. The traditional method typically involves renting conventional aircraft and trained pilots and attaching recording instruments like infrared cameras to the plane. This way of gathering information can be resource-intensive and costly. Even advanced UAVs will be less expensive than hiring a professional pilot and renting traditional aircraft. Moreover, drones have more flexibility when it comes to flight. These small and portable devices can fit between buildings and map out spatial information in tighter structures. Once professionals collect the geospatial information they need for their applications, they can store, process, and share it with an easy-to-use spatial data platform. Many drones also have Wi-Fi capabilities that allow for a first-person view (FPV). This technology will enable drones with Wi-Fi cameras to show what the drone “sees” during its flight. Some of them may also fly autonomously by using GPS information. These advancements make UAVs highly flexible, and the operator does not need to be a skilled pilot to use them.

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  • Lidar Mapping UAV & drone 3D Lidar mapping uses lasers to accurately measure the range from the sensor to points on an object or on the ground. Using multiple lasers at high speed allows a huge amount of data to be collected very quickly. Then using information from a highly accurate IMU to measure the attitude of the aircraft when each piece of data is collected, as well as an RTK GPS system, an extremely detailed 3D map can be created of any object or area. Post process correlation of IMU and GPS data, can then geo reference this data to an accuracy of a few millimetres. This truely disruptive technology will see fundamental changes in the way much of surveying is done in the very near future.

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  • One of the emerging technologies that steers that frontier of urban development and land use planning is geospatial tools and methodologies. Remote sensing provides a proactive way of addressing issues by implementing its data collection, processing, and map presentation techniques in solving a wide range of problems that affects the environment, health, safety, transportation, land use demarcation, among several others. Satellite imagery has been used substantially in the land use management and planning arena for the management and monitoring of land systems. This tutorial contributes to the several land use assessment and management techniques in the geospatial industry by presenting a step-by-step approach of applying Remote Sensing and GIS techniques to perform supervised classification on Landsat 8 imagery. Even though several classification algorithms have evolved over the years, this tutorial utilizes the Maximum Likelihood algorithm.

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