Release Notes for Warehouse Blueprint#
Version 3.1.0#
Features#
Introduced Minimal profile to deploy the minimal set of microservices to run on a machine with smaller resource footprint
Improvements#
Microservices
Perception: - Perception microservice uses DeepStream SDK v9.0 to perform object detection and tracking. - Performance improvement for IGX Thor.
Behavior Analytics: Enhanced support for image coordinates based analytics.
Agents: Improved the multi-turn conversation capabilities.
Models - Core AI models for perception and analytics - RT-DETR - 2D Warehouse Model v1.0.1 - Model for 2D Single-Camera Object Detection. - Sparse4D - 3D Warehouse Model v2.1 - Model for 3D Multi-Camera Object Detection and Tracking.
Fixed Issues#
Video IO & Storage (VIOS): Fixed issues with storage service.
Blueprint Configurator: Fixed issues with live RTSP stream configuration.
Version 3.0.0#
Initial release of the VSS Warehouse Blueprint.
Features#
Warehouse Blueprint Profiles - Layered architecture profiles combining microservices, blueprints, and AI agents for 2D and 3D applications
2D Vision AI Profile - 2D single-camera detection (using RTDETR model), tracking, and analytics
2D Vision AI with Agents Profile - 2D single-camera detection (using RTDETR model), tracking, analytics, and VSS agent integration
3D Vision AI Profile - 3D multi-camera detection (using Sparse4D model), tracking, and analytics
Microservices - Core components including video I/O and storage, behavior analytics, RESTful APIs, operations UI, AI agents and Auto Calibration.
Video IO & Storage (VIOS) – Microservice for ingesting camera streams (RTSP, WebRTC), managing video recording, playback, and persistent storage
Behavior Analytics – Real-time detection and analysis of warehouse events including object tracking, zone monitoring, and behavior pattern recognition
Video Analytics APIs – RESTful APIs providing programmatic access to analytics data, event streams, and video workflow management
Reference Video Analytics UI – Web-based dashboard for real-time monitoring, incident review, camera management, and analytics visualization
VSS Agent – Natural language interface powered by Nemotron Nano 9B v2 enabling conversational queries about incidents and automated report generation
Models - Core AI models for perception and analytics
RT-DETR - 2D Warehouse Model v1.0 - Model for 2D Single-Camera Object Detection.
Sparse4D - 3D Warehouse Model v2.0 - Model for 3D Multi-Camera Object Detection and Tracking.
CR2 - Reasoning Vision Language Model (VLM) enabling multi-step reasoning across visual and textual inputs.
Known Issues#
See Known Limitations for current constraints and workarounds.