# Release Notes: Pallet Defect Detection 2025 ## Version 2.5.0 **December 2025** **New** - Consumed the latest DL Streamer Pipeline Server version 2025.2 - Introduced the nginx server as a reverse proxy and TLS. - Enabled support for GenICam compliant GIGe/USB Cameras using Intel’s gencamsrc gStreamer plugin. **Improved** - Optimized pipelines and quantized the model from FP32 to INT8. ## Version 2.4.0 **August 2025** **New** - Consumed the latest DL Streamer Pipeline Server to 3.1.0. - Model Registry is now accessed as environment variables. - Redesigned based on the common application template for Manufacturing AI Suite. ## Version 2.3.0 **April 2025** **New** - Consumed the rebranded Edge Video Analytics Microservice as DL Streamer Pipeline Server. - HOST IP where Model Registry Microservice runs is now configurable in values.yaml for the Helm chart. - The GPU parameter that can be set appropriately to utilize underlying GPU is available in values.yaml for the Helm chart. ## Version 2.2.0 **March 2025** **New** - Architectural changes to include MediaMTX for signaling and Coturn server for NAT traversal. - The WebRTC protocol for streaming the inference output. - Open Telemetry dashboard for viewing metrics. - Frame and metadata publishing support over OPCUA protocol. **Improved** - The Pallet Defect Detection AI model updated to Geti 2.7.1. - Updated EVAM image to v2.4.0 and model-registry image to v1.0.3. - Removed the Visualizer microservice. - Updated the documentation. ## Version 2.1.0 **March 2025** **New** - Added multiple pipelines with gRPC and included the MLOps flow. - Added documentation for using the model registry and visualization service. **Improved** - Updated documentation and configurations across various components. - Enhanced Helm charts and proxy settings, enabling gRPC communication between microservices. - Implemented Docker and pipeline instruction updates to improve deployment and integration processes. **Fixed** - Changes to fix the Grafana multiple pipeline issue. ## Version 2.0.0 **February 2025** **New** - Added changes to get GPU inference to work in a Kubernetes environment. - Added S3 usage documentation, including configuration updates in evam_config.json and references in the Get Started Guide. **Improved** - Migrated pipelines to use gvadetect, including updates to the design diagram and documentation. - Updated PDD documentation adding MRaaS related documentation.