diff --git a/tools/visual-pipeline-and-platform-evaluation-tool/models/model_manager.sh b/tools/visual-pipeline-and-platform-evaluation-tool/models/model_manager.sh
index d2605b6e2..c6738be1a 100755
--- a/tools/visual-pipeline-and-platform-evaluation-tool/models/model_manager.sh
+++ b/tools/visual-pipeline-and-platform-evaluation-tool/models/model_manager.sh
@@ -116,6 +116,13 @@ download_omz_models() {
                 cp "$proc_src" "$target_dir/vehicle-attributes-recognition-barrier-0039.json"
                 echo "Copied model_proc file for $model."
             fi
+        elif [ "$model" == "human-pose-estimation-0001" ]; then
+            mv "$tmp_models_dir/intel/$model" "$target_dir"
+            local proc_src="/opt/intel/dlstreamer/samples/gstreamer/model_proc/intel/human-pose-estimation-0001.json"
+            if [ -f "$proc_src" ]; then
+                cp "$proc_src" "$target_dir/human-pose-estimation-0001.json"
+                echo "Copied model_proc file for $model."
+            fi
         elif [ "$model" == "mobilenet-v2-pytorch" ]; then
             mv "$tmp_models_dir/public/$model" "$target_dir"
             local proc_src="/opt/intel/dlstreamer/samples/gstreamer/model_proc/public/preproc-aspect-ratio.json"
diff --git a/tools/visual-pipeline-and-platform-evaluation-tool/models/supported_models.lst b/tools/visual-pipeline-and-platform-evaluation-tool/models/supported_models.lst
index 2001399be..13ec71cee 100644
--- a/tools/visual-pipeline-and-platform-evaluation-tool/models/supported_models.lst
+++ b/tools/visual-pipeline-and-platform-evaluation-tool/models/supported_models.lst
@@ -1,5 +1,6 @@
 ch_PP-OCRv4_rec_infer|PaddleOCR (FP32)|public|classification|default
 efficientnet-b0_INT8|EfficientNet B0 (INT8)|pipeline-zoo-models|classification|default
+human-pose-estimation-0001|Human Pose Estimation 0001 (FP16)|omz|classification|optional
 mobilenet-v2-pytorch|MobileNet V2 PyTorch (FP16)|omz|classification|optional
 resnet-50-tf_INT8|ResNet-50 TF (INT8)|pipeline-zoo-models|classification|default
 ssdlite_mobilenet_v2_INT8|SSDLite MobileNet V2 (INT8)|pipeline-zoo-models|detection|default
diff --git a/tools/visual-pipeline-and-platform-evaluation-tool/pipelines/simplevs/config.yaml b/tools/visual-pipeline-and-platform-evaluation-tool/pipelines/simplevs/config.yaml
index 572462b13..01ba632d0 100644
--- a/tools/visual-pipeline-and-platform-evaluation-tool/pipelines/simplevs/config.yaml
+++ b/tools/visual-pipeline-and-platform-evaluation-tool/pipelines/simplevs/config.yaml
@@ -33,4 +33,5 @@ parameters:
       - "ResNet-50 TF (INT8)"
       - "PaddleOCR (FP32)"
       - "Vehicle Attributes Recognition Barrier 0039 (FP16)"
+      - "Human Pose Estimation 0001 (FP16)"
     classification_model_default: "PaddleOCR (FP32)"
diff --git a/tools/visual-pipeline-and-platform-evaluation-tool/pipelines/smartnvr/config.yaml b/tools/visual-pipeline-and-platform-evaluation-tool/pipelines/smartnvr/config.yaml
index f40eba360..722513b42 100644
--- a/tools/visual-pipeline-and-platform-evaluation-tool/pipelines/smartnvr/config.yaml
+++ b/tools/visual-pipeline-and-platform-evaluation-tool/pipelines/smartnvr/config.yaml
@@ -29,4 +29,5 @@ parameters:
       - "EfficientNet B0 (INT8)"
       - "MobileNet V2 PyTorch (FP16)"
       - "ResNet-50 TF (INT8)"
+      - "Human Pose Estimation 0001 (FP16)"
     classification_model_default: "ResNet-50 TF (INT8)"
diff --git a/tools/visual-pipeline-and-platform-evaluation-tool/utils.py b/tools/visual-pipeline-and-platform-evaluation-tool/utils.py
index 1c49ee99c..04c91c1cd 100644
--- a/tools/visual-pipeline-and-platform-evaluation-tool/utils.py
+++ b/tools/visual-pipeline-and-platform-evaluation-tool/utils.py
@@ -212,6 +212,13 @@ def prepare_video_and_constants(
             constants["OBJECT_CLASSIFICATION_MODEL_PROC"] = (
                 f"{MODELS_PATH}/omz/vehicle-attributes-recognition-barrier-0039/vehicle-attributes-recognition-barrier-0039.json"
             )
+        case "Human Pose Estimation 0001 (FP16)":
+            constants["OBJECT_CLASSIFICATION_MODEL_PATH"] = (
+                f"{MODELS_PATH}/omz/human-pose-estimation-0001/human-pose-estimation-0001/FP16/human-pose-estimation-0001.xml"
+            )
+            constants["OBJECT_CLASSIFICATION_MODEL_PROC"] = (
+                f"{MODELS_PATH}/omz/human-pose-estimation-0001/human-pose-estimation-0001.json"
+            )
         case _:
             raise ValueError("Unrecognized Object Classification Model")