A recent interaction with Peter Ndirangu of Polken Geocart Survey revealed his passion for unconventional solutions and embracing new technology to drive innovation. His latest endeavor involves showcasing a mobile SLAM Lidar-enabled tool that utilizes artificial intelligence to create maps and 3D models efficiently, providing simple yet effective solutions for local industry challenges.
The tool, which involves a sensor-laden mobile robot, works by utilizing laser beams to measure distances to static objects or areas of interest, enabling the generation of detailed 3D maps. By activating the robot and maneuvering it around the desired objects or spaces, the collected data is uploaded onto a computer for processing and plotting into a 3D map with accurate positioning and elevations of features.
Peter's use of this technology has demonstrated its potential in various applications, from determining stockpile volumes to mapping construction sites and vast landscapes like golf courses. The simplicity and efficiency of this methodology not only streamline data collection processes but also significantly reduce time and eliminate the need for extensive human involvement, making it a valuable tool for surveying large areas with precision and speed.
Furthermore, the innovative aspect of this technology lies in its potential for future enhancements, such as the possibility of a self-propelled robot capable of real-time mapping through AI remotely. Professionals in fields like urban planning, infrastructure development, and topographical surveying are encouraged to explore these rapid data collection and mapping technologies for tailored local solutions, acknowledging the transformative impact they can have on traditional surveying methods.