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 Access the Application and Components Grafana UI NodeRED UI DL Streamer Pipeline Server Stop the Application: Other Deployment Option Next Steps Troubleshooting Supporting Resources Release Notes Version 1.2 - March 28th, 2025 High-Level Features Customize Application Overall System Architecture DL Streamer Pipeline Server Overview of Deep Learning Streamer Pipeline Server Key DL Streamer Pipeline Server Components Logging and general configuration Video processing pipelines Object detection pipelines (YOLOv10 Series) Object tracking pipelines Configurable parameters Messaging Interface (MQTT) DL Streamer Pipeline Server 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 tool 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 Step 1: Download the Helm chart Step 2: Configure and update the environment variables Step 3: Deploy the application and Run multiple AI pipelines Step 4: End the demonstration Summary Troubleshooting Deploying with Intel GPU K8S Extension on Intel® Tiber™ Edge Platform Deploying without Intel GPU K8S Extension Error Logs GitHub Get Help Troubleshooting Steps Support