Terrain Mapping
AI Powered Drones solving Your Real World Problems
Use of AI Drones in Solving Your Real World Problems
Drones and AI are like games designed by the Universe Project. Drones can play an unprecedented role in helping us solve problems in the real world. With the advent of advanced programmable drones such as the DJI Matrice series, it is not surprising that they are used in various industries. It has become an essential tool for everyone from firefighters to farmers and livestock managers.
AI Drones & Visive
There is no doubt that Visive's machine learning practices have focused on using programmable AI drones where needed or possible. Drones can only display content captured by their cameras and sensors. With the advent of programmable AI drones, they can not only be captured by installed cameras, but also be programmed by observing the surrounding environment to make them act intelligently. This advanced computer vision feature enables them to draw area maps, track moving and static objects and provide real-time feedback.
Terrain Mapping System For Civil Engineers
Topographic maps are needed in many industries, such as agriculture and civil engineering. One of our solutions is to provide a topographic map for a company engaged in civil construction. They need to use CAD systems to reconstruct 3D models. The problem description is to have an appropriate process that can obtain recorded or real-time feeds from 3D cameras and LIDAR, and then convert them to a sufficient data set in a standard format so that any other CAD system can use it to reproduce Construct the world in a 3D model.
High Level Steps of the Solution Were:
A drone fitted with 3D camera and LIDAR detector will make the flight on the area of interest. The AI drone is either pre programmed on a pre-coordinated path or by using manual navigation
The drone will travel along the road/track with the help of external/pre-planned navigation.
The drone will record from its two sensors and then broadcast the live stream, or record it in onboard storage.
The 3D camera data will be the video source, and the LIDAR data will be the point cloud data.
Both types of data will be geo-tagged using appropriate time information.
The required system will take input from the drone.
The system uses geographic coordinates and time information to create map data based on point clouds and textures in the 3D camera feed.
This will provide height, bumps and objects on the surface.
Texture will provide information about the boundaries of objects and surfaces.
The system uses computer vision (CV) technology and will recognize road boundaries.
The system will record the prepared data in a format that can be used by a specific third-party CAD system.
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