Release Notes for Warehouse Blueprint#
Version 3.0#
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, and AI agents
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.