Loitering Detection Loitering Detection Overview Key Features How It Works Components Learn More System Requirements Supported Platforms Minimum Requirements Software Requirements Compatibility Notes Validation Get Started Prerequisites Set up and First Use Run the Application Next Steps Troubleshooting Supporting Resources Release Notes Version 1.2 - March 28th, 2025 High-Level Features Customize Application Introduction Overall System Architecture DL Streamer Pipeline Server Overview of DLSPS Key DLSPS Components Logging and General Configuration Video Processing Pipelines Object Detection Pipelines (YOLOv10 Series) Object Tracking Pipelines Configurable Parameters Messaging Interface (MQTT) DLSPS Workflow Node-RED Flow for Data Processing Overview of the Node-RED Flow Key Node-RED Components MQTT Input Nodes Data Extraction Nodes Euclidean and IoR Nodes (Loitering Detection) Data Table Output Nodes MQTT Output Nodes Node-RED Workflow Grafana Visualization Overview of Grafana Key Grafana Components Data Sources Dashboards and Panels Setting up Grafana Install and Launch Grafana Add Your Data Source Create Your Dashboard Grafana Use Cases for Object Tracking and Loitering Detection End-to-End Integration Conclusion How to Deploy with Helm Get Started Prerequisites Download the helm chart Configure and update the environment variables Deploy the application and Run multiple AI pipelines End the demonstration Summary Troubleshooting Deploying with Intel GPU K8S Extension on ITEP Deploying without Intel GPU K8S Extension Error Logs How to Deploy with the Edge Orchestrator Procedure to Deploy with Edge Orchestrator Prerequisites Making the Deployment Package Available Deploy the Application onto the Edge Nodes Running the AI Pipeline for Loitering Detection sample application GitHub Get Help Support