Light Detection and Ranging (LiDAR) is a remote sensing model that uses lasers to measure distance, providing accurate detail of the earth’s surface, atmosphere, and environment.
Implementing LiDAR technology helps train operating companies efficiently monitor and manage vegetation growth at rail crossings, allowing for quick and effective responses to any issues while minimizing disruptions to railway operations. This not only saves valuable resources but also ensures compliance with state regulations, improving public safety and reducing costs.
Object Computing’s fresh approach to LiDAR blends geospatial mastery, mathematical modeling, and streamlined Google Earth Engine data to yield unparalleled insights and understanding. By considering scalability from the outset, Object Computing designed the LiDAR mobile app with the potential to support not only advanced functionalities in the future but also cross-industry application.
For instance, by integrating year-over-year LiDAR data analytics and AI methods, the app can be used to build predictive models that forecast the speed and density of vegetation growth, allowing for more proactive management practices. AI integration could also be utilized to identify specific areas that require maintenance and generate automated work orders for crews to perform.
As technology continues to evolve, the LiDAR mobile app’s scalability ensures it remains a valuable tool for railway companies, helping them to maintain compliance with state regulations, ensure public safety, and reduce disruptions to railway operations.