Lidar and AI Based Surveillance of Industrial Process Environments

Abstract

The paper describes a system approach to use LiDAR sensors for capturing dynamic point cloud data in industrial process environments and to interpret the captured scenes with AI based object detection. The object detection is used to distinguish between humans and other mobile objects in safety relevant workspaces. Several AI methods relevant for such application are analysed. One method is applied with annotated test data and evaluated concerning its accuracy.

Keywords

• lidar
• dynamic 3d point cloud
• object detection
• ai
• industrial application
• synthetic data