The real value from lidar sensors come from the point cloud. A point cloud is a set of points that describe surfaces and objects. The points are created from the time it takes for a laser pulse to reflect on a surface, and since we know the speed of light, we have the distances. Thousands of points capture the environment and creates a real-time 3D model with outstanding spatial and structural reproduction.

What is powerful in point cloud analysis is how the points are related to each other. Sets and structures of points can be recognized as a surface or shape, valuable when extracting information from the point cloud.  When a shape is recognized, we can track how the object is moving compared to the environment. For example; following a person or vehicle from distance. 

What does the sensor see?

We work with all types of lidar sensors, the figures of the Ouster OS1 model is one example of many sensors with different advantages.  Some models have 360° field of view and others have a smaller field of view but better range. Within the field of view, you can add an indefinite number of virtual monitoring boxes and run several detection features at the same.