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.