[EMF] DP chart version update. Update new DP screenshot

manufacturing-ai-suite/industrial-edge-insights-vision/deployment-package/pallet-defect-detection/application.yaml

@@ -6,12 +6,12 @@ schemaVersion: "0.1"
 $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 
 name: pdd-app
-version: 2.6.0-rc1
+version: 2.6.0
 description: "Pallet Defect Detection Sample Application"
 
 helmRegistry: "docker-hub"
 chartName: "intel/pallet-defect-detection-reference-implementation"
-chartVersion: "2.6.0-rc1"
+chartVersion: "2.6.0"
 
 profiles:
   - name: "default"

manufacturing-ai-suite/industrial-edge-insights-vision/deployment-package/pallet-defect-detection/deployment-package.yaml

@@ -8,11 +8,11 @@ $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 name: "pdd"
 displayName: "pdd"
 description: "Pallet Defect Detection Deployment Package"
-version: "2.6.0-rc1"
+version: "2.6.0"
 
 applications:
   - name: pdd-app
-    version: 2.6.0-rc1
+    version: 2.6.0
 
 defaultNamespaces:
   pdd-app: pdd

manufacturing-ai-suite/industrial-edge-insights-vision/deployment-package/pcb-anomaly-detection/application.yaml

@@ -6,12 +6,12 @@ schemaVersion: "0.1"
 $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 
 name: pcb-app
-version: 1.2.0-rc1
+version: 1.2.0
 description: "PCB Anomaly Detection Sample Application"
 
 helmRegistry: "docker-hub"
 chartName: "intel/pcb-anomaly-detection"
-chartVersion: "1.2.0-rc1"
+chartVersion: "1.2.0"
 
 profiles:
   - name: "default"

manufacturing-ai-suite/industrial-edge-insights-vision/deployment-package/pcb-anomaly-detection/deployment-package.yaml

@@ -8,11 +8,11 @@ $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 name: "pcb"
 displayName: "pcb"
 description: "PCB Anomaly Detection Deployment Package"
-version: "1.2.0-rc1"
+version: "1.2.0"
 
 applications:
   - name: pcb-app
-    version: 1.2.0-rc1
+    version: 1.2.0
 
 defaultNamespaces:
   pcb-app: pcb

manufacturing-ai-suite/industrial-edge-insights-vision/deployment-package/weld-porosity/application.yaml

@@ -6,12 +6,12 @@ schemaVersion: "0.1"
 $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 
 name: wp-app
-version: 1.4.0-rc1
+version: 1.4.0
 description: "weld Porosity Sample Application"
 
 helmRegistry: "docker-hub"
 chartName: "intel/weld-porosity-sample-application"
-chartVersion: "1.4.0-rc1"
+chartVersion: "1.4.0"
 
 profiles:
   - name: "default"

manufacturing-ai-suite/industrial-edge-insights-vision/deployment-package/weld-porosity/deployment-package.yaml

@@ -8,11 +8,11 @@ $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 name: "wp"
 displayName: "wp"
 description: "Weld Porosity Deployment Package"
-version: "1.4.0-rc1"
+version: "1.4.0"
 
 applications:
   - name: wp-app
-    version: 1.4.0-rc1
+    version: 1.4.0
 
 defaultNamespaces:
   wp-app: wp

manufacturing-ai-suite/industrial-edge-insights-vision/deployment-package/worker-safety-gear-detection/application.yaml

@@ -6,12 +6,12 @@ schemaVersion: "0.1"
 $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 
 name: wsgd-app
-version: 1.2.0-rc1
+version: 1.2.0
 description: "Worker Safety Gear Detection Sample Application"
 
 helmRegistry: "docker-hub"
 chartName: "intel/worker-safety-gear-detection"
-chartVersion: "1.2.0-rc1"
+chartVersion: "1.2.0"
 
 profiles:
   - name: "default"

manufacturing-ai-suite/industrial-edge-insights-vision/deployment-package/worker-safety-gear-detection/deployment-package.yaml

@@ -8,11 +8,11 @@ $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 name: "wsgd"
 displayName: "wsgd"
 description: "Worker Safety Gear Detection Deployment Package"
-version: "1.2.0-rc1"
+version: "1.2.0"
 
 applications:
   - name: wsgd-app
-    version: 1.2.0-rc1
+    version: 1.2.0
 
 defaultNamespaces:
   wsgd-app: wsgd
@@ -32,4 +32,4 @@ deploymentProfiles:
     description: "Uses NPU profile with privileged access enabled"
     applicationProfiles:
       - application: "wsgd-app"
-        profile: "with-intel-npu"
+        profile: "with-intel-npu"

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

@@ -25,7 +25,7 @@ To deploy the **Pallet Defect Detection** Sample Application with the Edge Orche
 1. Clone the **edge-ai-suites** repository and change into the Pallet Defect Detection directory:
 
     ```bash
-    git clone https://github.com/open-edge-platform/edge-ai-suites
+    git clone https://github.com/open-edge-platform/edge-ai-suites -b release-2026.0.0
     cd edge-ai-suites/manufacturing-ai-suite/industrial-edge-insights-vision/apps/pallet-defect-detection
     ```
 

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

@@ -25,7 +25,7 @@ To deploy the **PCB Anomaly Detection** Sample Application with the Edge Orchest
 1. Clone the **edge-ai-suites** repository and change into the PCB Anomaly Detection directory:
 
     ```bash
-    git clone https://github.com/open-edge-platform/edge-ai-suites
+    git clone https://github.com/open-edge-platform/edge-ai-suites -b release-2026.0.0
     cd edge-ai-suites/manufacturing-ai-suite/industrial-edge-insights-vision/apps/pcb-anomaly-detection
     ```
 

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

@@ -25,7 +25,7 @@ To deploy the **Weld Porosity** Sample Application with the Edge Orchestrator, f
 1. Clone the **edge-ai-suites** repository and change into Weld Porosity directory:
 
    ```bash
-   git clone https://github.com/open-edge-platform/edge-ai-suites
+   git clone https://github.com/open-edge-platform/edge-ai-suites -b release-2026.0.0
    cd edge-ai-suites/manufacturing-ai-suite/industrial-edge-insights-vision/apps/weld-porosity
    ```
 

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

@@ -25,7 +25,7 @@ To deploy the **Worker Safety Gear Detection** Sample Application with the Edge
 1. Clone the **edge-ai-suites** repository and change into Worker Safety Gear Detection directory:
 
    ```bash
-   git clone https://github.com/open-edge-platform/edge-ai-suites
+   git clone https://github.com/open-edge-platform/edge-ai-suites -b release-2026.0.0
    cd edge-ai-suites/manufacturing-ai-suite/industrial-edge-insights-vision/apps/worker-safety-gear-detection
    ```
 

metro-ai-suite/image-based-video-search/deployment-package/application.yaml

@@ -6,12 +6,12 @@ schemaVersion: "0.1"
 $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 
 name: ibvs-app
-version: 1.2.0-rc1
+version: 1.2.0
 description: "Image-Based Video Search Sample Application"
 
 helmRegistry: "docker-hub"
 chartName: "intel/image-based-video-search"
-chartVersion: "1.2.0-rc1"
+chartVersion: "1.2.0"
 
 profiles:
   - name: "default"

metro-ai-suite/image-based-video-search/deployment-package/deployment-package.yaml

@@ -8,11 +8,11 @@ $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 name: "ibvs"
 displayName: "ibvs"
 description: "Image-Based Video Search Sample Application"
-version: "1.2.0-rc1"
+version: "1.2.0"
 
 applications:
   - name: ibvs-app
-    version: 1.2.0-rc1
+    version: 1.2.0
 
 defaultNamespaces:
   ibvs-app: ibvs

metro-ai-suite/image-based-video-search/docs/user-guide/get-started/deploy-with-edge-orchestrator.md

@@ -26,7 +26,7 @@ To deploy the **Image-Based Video Search** application with Edge Orchestrator, f
 1. Clone the **Image-Based Video Search** repository:
 
     ``` bash
-    git clone https://github.com/open-edge-platform/edge-ai-suites
+    git clone https://github.com/open-edge-platform/edge-ai-suites -b release-2026.0.0
     cd edge-ai-suites/metro-ai-suite/image-based-video-search
     ```
 

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/deployment-package/application.yaml

@@ -6,12 +6,12 @@ schemaVersion: "0.1"
 $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 
 name: ld-app
-version: 1.4.0-rc1
+version: 1.4.0
 description: "Loitering Detection Sample Application"
 
 helmRegistry: "docker-hub"
 chartName: "intel/loitering-detection"
-chartVersion: "1.4.0-rc1"
+chartVersion: "1.4.0"
 
 profiles:
   - name: "default"

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/deployment-package/deployment-package.yaml

@@ -8,11 +8,11 @@ $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 name: "ld"
 displayName: "ld"
 description: "Loitering Detection Deployment Package"
-version: "1.4.0-rc1"
+version: "1.4.0"
 
 applications:
   - name: ld-app
-    version: 1.4.0-rc1
+    version: 1.4.0
 
 defaultNamespaces:
   ld-app: ld

metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection/docs/user-guide/get-started/deploy-with-edge-orchestrator.md

@@ -38,7 +38,7 @@ the steps in this document.
 1. Clone the **Loitering Detection** repository:
 
     ```bash
-    git clone https://github.com/open-edge-platform/edge-ai-suites
+    git clone https://github.com/open-edge-platform/edge-ai-suites -b release-2026.0.0
     cd metro-ai-suite/metro-vision-ai-app-recipe/loitering-detection
     ```
 

metro-ai-suite/metro-vision-ai-app-recipe/smart-parking/deployment-package/application.yaml

@@ -6,12 +6,12 @@ schemaVersion: "0.1"
 $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 
 name: sp-app
-version: 1.4.0-rc1
+version: 1.4.0
 description: "Smart Parking Sample Application"
 
 helmRegistry: "docker-hub"
 chartName: "intel/smart-parking"
-chartVersion: "1.4.0-rc1"
+chartVersion: "1.4.0"
 
 profiles:
   - name: "default"

metro-ai-suite/metro-vision-ai-app-recipe/smart-parking/deployment-package/deployment-package.yaml

@@ -8,11 +8,11 @@ $schema: "https://schema.intel.com/catalog.orchestrator/0.1/schema"
 name: "sp"
 displayName: "sp"
 description: "Smart Parking Deployment Package"
-version: "1.4.0-rc1"
+version: "1.4.0"
 
 applications:
   - name: sp-app
-    version: 1.4.0-rc1
+    version: 1.4.0
 
 defaultNamespaces:
   sp-app: sp

metro-ai-suite/metro-vision-ai-app-recipe/smart-parking/docs/user-guide/get-started/deploy-with-edge-orchestrator.md

@@ -27,7 +27,7 @@ To deploy the **Smart Parking** Sample Application with the Edge Orchestrator, f
 1. Clone the **Smart Parking** repository:
 
     ```bash
-    git clone https://github.com/open-edge-platform/edge-ai-suites
+    git clone https://github.com/open-edge-platform/edge-ai-suites -b release-2026.0.0
     cd metro-ai-suite/metro-vision-ai-app-recipe/smart-parking
     ```