[Edge AI Suites] IRD and metro apps: Update image tags to release 2026.0.0 version

manufacturing-ai-suite/industrial-edge-insights-vision/.env

@@ -4,7 +4,7 @@ HOST_IP=
 REST_SERVER_PORT=8080
 
 # DL Streamer Pipeline Server
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 RTSP_CAMERA_IP=
 
 # MinIO service & client

manufacturing-ai-suite/industrial-edge-insights-vision/.env_pallet-defect-detection

@@ -4,7 +4,7 @@ HOST_IP=
 REST_SERVER_PORT=8080
 
 # DL Streamer Pipeline Server
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 RTSP_CAMERA_IP=
 
 # MinIO service & client

manufacturing-ai-suite/industrial-edge-insights-vision/.env_pcb-anomaly-detection

@@ -4,7 +4,7 @@ HOST_IP=
 REST_SERVER_PORT=8080
 
 # DL Streamer Pipeline Server
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 RTSP_CAMERA_IP=
 
 # MinIO service & client

manufacturing-ai-suite/industrial-edge-insights-vision/.env_weld-porosity

@@ -4,7 +4,7 @@ HOST_IP=
 REST_SERVER_PORT=8080
 
 # DL Streamer Pipeline Server
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 RTSP_CAMERA_IP=
 
 # MinIO service & client

manufacturing-ai-suite/industrial-edge-insights-vision/.env_worker-safety-gear-detection

@@ -4,7 +4,7 @@ HOST_IP=
 REST_SERVER_PORT=8080
 
 # DL Streamer Pipeline Server
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 RTSP_CAMERA_IP=
 
 # MinIO service & client

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pallet-defect-detection/get-started/deploy-with-helm.md

@@ -33,13 +33,13 @@
    - Download helm chart with the following command
 
      ```bash
-     helm pull oci://registry-1.docker.io/intel/pallet-defect-detection-reference-implementation --version 2.6.0-rc3
+     helm pull oci://registry-1.docker.io/intel/pallet-defect-detection-reference-implementation --version 2.6.0
      ```
 
    - Unzip the package using the following command
 
      ```bash
-     tar -xvf pallet-defect-detection-reference-implementation-2.6.0-rc3.tgz
+     tar -xvf pallet-defect-detection-reference-implementation-2.6.0.tgz
      ```
 
    - Replace the helm directory

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pallet-defect-detection/how-to-guides/integrate-balluff-sdk.md

@@ -24,7 +24,7 @@ cd edge-ai-libraries/microservices/dlstreamer-pipeline-server
 Create a Docker file named `BalluffDockerfile` inside your `dlstreamer-pipeline-server` directory with the following content.
 
 ```dockerfile
-FROM intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+FROM intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 
 USER root
 
@@ -41,7 +41,7 @@ RUN chmod +x /home/pipeline-server/src-gst-gencamsrc/autogen.sh
 RUN chmod +x /home/pipeline-server/install_gencamsrc_gstreamer_plugin.sh
 RUN /home/pipeline-server/install_gencamsrc_gstreamer_plugin.sh
 
-# For Ubuntu24 intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3 base image
+# For Ubuntu24 intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24 base image
 RUN apt-get update && apt-get install -y libwxgtk-webview3.2-dev
 
 # For Ubuntu 22 with intel/dlstreamer-pipeline-server:3.1.0-ubuntu22, uncomment the line below and comment the above line
@@ -67,7 +67,7 @@ USER intelmicroserviceuser
 Run the following command to build the image:
 
 ```bash
-docker build -t intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-balluff -f BalluffDockerfile .
+docker build -t intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-balluff -f BalluffDockerfile .
 ```
 
 This command builds your Docker image using the steps defined above.
@@ -76,7 +76,7 @@ This command builds your Docker image using the steps defined above.
 
 After the build completes, update .env and start the container:
 
-> update .env DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-balluff
+> update .env DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-balluff
 
 ```bash
 docker compose up -d
@@ -111,7 +111,7 @@ cp .env_pallet-defect-detection .env
 Update the `.env` file with the newly created image as below and modify any other required variables.
 
 ```bash
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-balluff
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-balluff
 ```
 
 

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pallet-defect-detection/how-to-guides/integrate-pylon-sdk.md

@@ -22,7 +22,7 @@ cd edge-ai-libraries/microservices/dlstreamer-pipeline-server
 Create a Docker file named `BaslerDockerfile` inside your `dlstreamer-pipeline-server` directory with the following content.
 
 ```dockerfile
-FROM intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+FROM intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 
 USER root
 
@@ -53,7 +53,7 @@ USER intelmicroserviceuser
 Run the following command to build the image:
 
 ```bash
-docker build -t intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-basler -f BaslerDockerfile .
+docker build -t intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-basler -f BaslerDockerfile .
 ```
 
 This command builds your Docker image using the steps defined above.
@@ -62,7 +62,7 @@ This command builds your Docker image using the steps defined above.
 
 After the build completes, update .env and start the container:
 
-> update .env DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-basler
+> update .env DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-basler
 
 ```bash
 docker compose up -d
@@ -97,7 +97,7 @@ cp .env_pallet-defect-detection .env
 Update the `.env` file with the newly created image as below and modify any other required variables.
 
 ```bash
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-basler
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-basler
 ```
 
 ### Step 3: Run the Setup Script

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/pcb-anomaly-detection/get-started/deploy-with-helm.md

@@ -30,10 +30,10 @@
 
    - Download helm chart with the following command
 
-       `helm pull oci://registry-1.docker.io/intel/pcb-anomaly-detection --version 1.2.0-rc3`
+       `helm pull oci://registry-1.docker.io/intel/pcb-anomaly-detection --version 1.2.0`
    - unzip the package using the following command
 
-       `tar -xvf pcb-anomaly-detection-1.2.0-rc3.tgz`
+       `tar -xvf pcb-anomaly-detection-1.2.0.tgz`
    - Replace the helm directory
 
        `rm -rf helm && mv pcb-anomaly-detection helm`

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/weld-porosity/get-started/deploy-with-helm.md

@@ -30,10 +30,10 @@
 
     - Download helm chart with the following command
 
-        `helm pull oci://registry-1.docker.io/intel/weld-porosity-sample-application --version 1.4.0-rc3`
+        `helm pull oci://registry-1.docker.io/intel/weld-porosity-sample-application --version 1.4.0`
     - unzip the package using the following command
 
-        `tar -xvf weld-porosity-sample-application-1.4.0-rc3.tgz`
+        `tar -xvf weld-porosity-sample-application-1.4.0.tgz`
     - Replace the helm directory
 
         `rm -rf helm && mv weld-porosity-sample-application helm`

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/worker-safety-gear-detection/get-started/deploy-with-helm.md

@@ -28,10 +28,10 @@
 
     - Download helm chart with the following command
 
-        `helm pull oci://registry-1.docker.io/intel/worker-safety-gear-detection --version 1.2.0-rc3`
+        `helm pull oci://registry-1.docker.io/intel/worker-safety-gear-detection --version 1.2.0`
     - unzip the package using the following command
 
-        `tar -xvf worker-safety-gear-detection-1.2.0-rc3.tgz`
+        `tar -xvf worker-safety-gear-detection-1.2.0.tgz`
     - Replace the helm directory
 
         `rm -rf helm && mv worker-safety-gear-detection helm`

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/worker-safety-gear-detection/how-to-guides/integrate-balluff-sdk.md

@@ -29,7 +29,7 @@ cd edge-ai-libraries/microservices/dlstreamer-pipeline-server
 Create a Docker file named `BalluffDockerfile` inside your `dlstreamer-pipeline-server` directory with the following content.
 
 ```dockerfile
-FROM intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+FROM intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 
 USER root
 
@@ -46,7 +46,7 @@ RUN chmod +x /home/pipeline-server/src-gst-gencamsrc/autogen.sh
 RUN chmod +x /home/pipeline-server/install_gencamsrc_gstreamer_plugin.sh
 RUN /home/pipeline-server/install_gencamsrc_gstreamer_plugin.sh
 
-# For Ubuntu24 intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3 base image
+# For Ubuntu24 intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24 base image
 RUN apt-get update && apt-get install -y libwxgtk-webview3.2-dev
 
 # For Ubuntu 22 with intel/dlstreamer-pipeline-server:3.1.0-ubuntu22, uncomment the line below and comment the above line
@@ -74,7 +74,7 @@ USER intelmicroserviceuser
 Run the following command to build the image:
 
 ```bash
-docker build -t intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-balluff -f BalluffDockerfile .
+docker build -t intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-balluff -f BalluffDockerfile .
 ```
 
 This command builds your Docker image using the steps defined above.
@@ -85,7 +85,7 @@ This command builds your Docker image using the steps defined above.
 
 After the build completes, update .env and start the container:
 
-> update .env DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-balluff
+> update .env DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-balluff
 
 ```bash
 docker compose up -d
@@ -127,7 +127,7 @@ cp .env_worker-safety-gear-detection .env
 Update the `.env` file with the newly created image as below and modify any other required variables.
 
 ```bash
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-balluff
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-balluff
 ```
 
 ---

manufacturing-ai-suite/industrial-edge-insights-vision/docs/user-guide/worker-safety-gear-detection/how-to-guides/integrate-pylon-sdk.md

@@ -27,7 +27,7 @@ cd edge-ai-libraries/microservices/dlstreamer-pipeline-server
 Create a Docker file named `BaslerDockerfile` inside your `dlstreamer-pipeline-server` directory with the following content.
 
 ```dockerfile
-FROM intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+FROM intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
 
 USER root
 
@@ -60,7 +60,7 @@ USER intelmicroserviceuser
 Run the following command to build the image:
 
 ```bash
-docker build -t intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-basler -f BaslerDockerfile .
+docker build -t intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-basler -f BaslerDockerfile .
 ```
 
 This command builds your Docker image using the steps defined above.
@@ -71,7 +71,7 @@ This command builds your Docker image using the steps defined above.
 
 After the build completes, update .env and start the container:
 
-> update .env DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-basler
+> update .env DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-basler
 
 ```bash
 docker compose up -d
@@ -113,7 +113,7 @@ cp .env_worker-safety-gear-detection .env
 Update the `.env` file with the newly created image as below and modify any other required variables.
 
 ```bash
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3-gencamsrc-basler
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-gencamsrc-basler
 ```
 
 ---

manufacturing-ai-suite/industrial-edge-insights-vision/helm/Chart-pallet-defect-detection.yaml

@@ -17,10 +17,10 @@ type: application
 # This is the chart version. This version number should be incremented each time you make changes
 # to the chart and its templates, including the app version.
 # Versions are expected to follow Semantic Versioning (https://semver.org/)
-version: 2.6.0-rc3
+version: 2.6.0
 
 # This is the version number of the application being deployed. This version number should be
 # incremented each time you make changes to the application. Versions are not expected to
 # follow Semantic Versioning. They should reflect the version the application is using.
 # It is recommended to use it with quotes.
-appVersion: "2.6.0-rc3"
+appVersion: "2.6.0"

manufacturing-ai-suite/industrial-edge-insights-vision/helm/Chart-pcb-anomaly-detection.yaml

@@ -17,10 +17,10 @@ type: application
 # This is the chart version. This version number should be incremented each time you make changes
 # to the chart and its templates, including the app version.
 # Versions are expected to follow Semantic Versioning (https://semver.org/)
-version: 1.2.0-rc3
+version: 1.2.0
 
 # This is the version number of the application being deployed. This version number should be
 # incremented each time you make changes to the application. Versions are not expected to
 # follow Semantic Versioning. They should reflect the version the application is using.
 # It is recommended to use it with quotes.
-appVersion: "1.2.0-rc3"
+appVersion: "1.2.0"

manufacturing-ai-suite/industrial-edge-insights-vision/helm/Chart-weld-porosity.yaml

@@ -17,10 +17,10 @@ type: application
 # This is the chart version. This version number should be incremented each time you make changes
 # to the chart and its templates, including the app version.
 # Versions are expected to follow Semantic Versioning (https://semver.org/)
-version: 1.4.0-rc3
+version: 1.4.0
 
 # This is the version number of the application being deployed. This version number should be
 # incremented each time you make changes to the application. Versions are not expected to
 # follow Semantic Versioning. They should reflect the version the application is using.
 # It is recommended to use it with quotes.
-appVersion: "1.4.0-rc3"
+appVersion: "1.4.0"

manufacturing-ai-suite/industrial-edge-insights-vision/helm/Chart-worker-safety-gear-detection.yaml

@@ -17,10 +17,10 @@ type: application
 # This is the chart version. This version number should be incremented each time you make changes
 # to the chart and its templates, including the app version.
 # Versions are expected to follow Semantic Versioning (https://semver.org/)
-version: 1.2.0-rc3
+version: 1.2.0
 
 # This is the version number of the application being deployed. This version number should be
 # incremented each time you make changes to the application. Versions are not expected to
 # follow Semantic Versioning. They should reflect the version the application is using.
 # It is recommended to use it with quotes.
-appVersion: "1.2.0-rc3"
+appVersion: "1.2.0"

manufacturing-ai-suite/industrial-edge-insights-vision/helm/Chart.yaml

@@ -17,10 +17,10 @@ type: application
 # This is the chart version. This version number should be incremented each time you make changes
 # to the chart and its templates, including the app version.
 # Versions are expected to follow Semantic Versioning (https://semver.org/)
-version: 2.6.0-rc3
+version: 2.6.0
 
 # This is the version number of the application being deployed. This version number should be
 # incremented each time you make changes to the application. Versions are not expected to
 # follow Semantic Versioning. They should reflect the version the application is using.
 # It is recommended to use it with quotes.
-appVersion: "2.6.0-rc3"
+appVersion: "2.6.0"

manufacturing-ai-suite/industrial-edge-insights-vision/helm/values.yaml

@@ -42,7 +42,7 @@ webrtcturnserver:
   password: 
 images:
   minio: minio/minio:RELEASE.2020-12-12T08-39-07Z
-  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
   nginx: nginx:1.27-alpine
   mqtt_broker: eclipse-mosquitto:latest
 config:

manufacturing-ai-suite/industrial-edge-insights-vision/helm/values_pallet-defect-detection.yaml

@@ -42,7 +42,7 @@ webrtcturnserver:
   password:
 images:
   minio: minio/minio:RELEASE.2020-12-12T08-39-07Z
-  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
   nginx: nginx:1.27-alpine
   mqtt_broker: eclipse-mosquitto:latest
 config:

manufacturing-ai-suite/industrial-edge-insights-vision/helm/values_pcb-anomaly-detection.yaml

@@ -42,7 +42,7 @@ webrtcturnserver:
   password:
 images:
   minio: minio/minio:RELEASE.2020-12-12T08-39-07Z
-  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
   nginx: nginx:1.27-alpine
   mqtt_broker: eclipse-mosquitto:latest
 config:

manufacturing-ai-suite/industrial-edge-insights-vision/helm/values_weld-porosity.yaml

@@ -42,7 +42,7 @@ webrtcturnserver:
   password:
 images:
   minio: minio/minio:RELEASE.2020-12-12T08-39-07Z
-  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
   nginx: nginx:1.27-alpine
   mqtt_broker: eclipse-mosquitto:latest
 config:

manufacturing-ai-suite/industrial-edge-insights-vision/helm/values_worker-safety-gear-detection.yaml

@@ -42,7 +42,7 @@ webrtcturnserver:
   password:
 images:
   minio: minio/minio:RELEASE.2020-12-12T08-39-07Z
-  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+  dlstreamer_pipeline_server: intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24
   nginx: nginx:1.27-alpine
   mqtt_broker: eclipse-mosquitto:latest
 config:

metro-ai-suite/image-based-video-search/.env

@@ -1,4 +1,4 @@
 # General
 DOCKER_REGISTRY=
 # DL Streamer Pipeline Server
-DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24-rc3
+DLSTREAMER_PIPELINE_SERVER_IMAGE=intel/dlstreamer-pipeline-server:2026.0.0-ubuntu24