diff --git a/bjoerntest10.py b/bjoerntest10.py
index 0e5b07d..ffb7cff 100644
--- a/bjoerntest10.py
+++ b/bjoerntest10.py
@@ -26,6 +26,8 @@ import threading
 from CameraStream import YOLOv8CameraStream  # Import the YOLOv8CameraStream class
 import cv2
 
+import os
+
 # db_config = {
 #     'user': 'dbUser',
 #     'password': 'dbPassword',
@@ -444,11 +446,14 @@ class Ui_MainWindow(object):
         self.camWorkFlowcheckBox = QtWidgets.QCheckBox(self.centralwidget)
         self.camWorkFlowcheckBox.setGeometry(QtCore.QRect(700, int(1080/2), 151, 23))
         self.camWorkFlowcheckBox.setObjectName("camWorkFlowcheckBox")
+        self.modelComboBox = QtWidgets.QComboBox(self.centralwidget)
+        self.modelComboBox.setGeometry(QtCore.QRect(700, int(1080/2)+50, 161, 25))
+        self.modelComboBox.setObjectName("modelComboBox")
         self.startCamBtn = QtWidgets.QPushButton(self.centralwidget)
-        self.startCamBtn.setGeometry(QtCore.QRect(700, int(1080/2)+50, 161, 25)) #int(1080/2)+100
+        self.startCamBtn.setGeometry(QtCore.QRect(700, int(1080/2)+100, 161, 25)) #int(1080/2)+100
         self.startCamBtn.setObjectName("startCamBtn")
         self.stopCamBtn = QtWidgets.QPushButton(self.centralwidget)
-        self.stopCamBtn.setGeometry(QtCore.QRect(700, int(1080/2)+100, 161, 25))
+        self.stopCamBtn.setGeometry(QtCore.QRect(700, int(1080/2)+150, 161, 25))
         self.stopCamBtn.setObjectName("stopCamBtn")
         self.graphicsView = QtWidgets.QGraphicsView(self.centralwidget)
         self.graphicsView.setGeometry(QtCore.QRect(10, int(1080/2), 661, int(480*1.05))) # position and size of camera frame # int(640*1.05)
@@ -555,6 +560,8 @@ class Ui_MainWindow(object):
         self.stopCamBtn.setText(_translate("MainWindow", "Stop Camera"))
         self.camWorkFlowcheckBox.setText(_translate("MainWindow", "Camera Workflow"))
         # self.camWorkFlowcheckBox.clicked.connect(self.onCheckboxCheck)
+        self.modelComboBox
+        
 
 
     def mousePressEvent(self, event):
@@ -971,10 +978,21 @@ class CameraStreamApp(QtWidgets.QMainWindow):
         self.yolo_stream = None  # Initialize YOLOv8CameraStream as None
         self.timer = QtCore.QTimer(self)
         self.timer.timeout.connect(self.update_frame)
+
+        # Populate the model dropdown menu
+        self.populate_model_dropdown()
+
         self.ui.startCamBtn.clicked.connect(self.start_camera) # start camera if button LoadAuftrag is clicked
         self.ui.stopCamBtn.clicked.connect(self.stop_camera) # start camera if button LoadAuftrag is clicked
         self.scene = QtWidgets.QGraphicsScene(self)
         self.ui.graphicsView.setScene(self.scene)
+    
+    def populate_model_dropdown(self):
+        """Populate the dropdown menu with model files from the models directory."""
+        models_dir = "models"
+        model_files = [f for f in os.listdir(models_dir) if f.endswith(".pt")]
+        self.ui.modelComboBox.clear()
+        self.ui.modelComboBox.addItems(model_files)
 
     def start_camera(self):
         # Start the YOLOv8 camera stream (only if not already started)
diff --git a/models/best_8n.pt b/models/best_8n.pt
new file mode 100644
index 0000000..feb8582
Binary files /dev/null and b/models/best_8n.pt differ
diff --git a/models/yolov10n_e300.pt b/models/yolov10n_e300.pt
new file mode 100644
index 0000000..1d966f4
Binary files /dev/null and b/models/yolov10n_e300.pt differ
diff --git a/models/yolov10n_e300_openvino_model/best.bin b/models/yolov10n_e300_openvino_model/best.bin
new file mode 100644
index 0000000..43a2d3c
Binary files /dev/null and b/models/yolov10n_e300_openvino_model/best.bin differ
diff --git a/models/yolov10n_e300_openvino_model/best.xml b/models/yolov10n_e300_openvino_model/best.xml
new file mode 100644
index 0000000..99288f5
--- /dev/null
+++ b/models/yolov10n_e300_openvino_model/best.xml
@@ -0,0 +1,10826 @@
+<?xml version="1.0"?>
+<net name="Model0" version="11">
+	<layers>
+		<layer id="0" name="x" type="Parameter" version="opset1">
+			<data shape="1,3,640,640" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="x">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="__module.model.23/aten::unsqueeze/Unsqueeze" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 2, 8400" offset="0" size="67200" />
+			<output>
+				<port id="0" precision="FP32" names="1409,anchor_points">
+					<dim>1</dim>
+					<dim>2</dim>
+					<dim>8400</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.model.0.conv.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="16, 3, 3, 3" offset="67200" size="1728" />
+			<output>
+				<port id="0" precision="FP32" names="self.model.0.conv.weight">
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="__module.model.0.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>640</dim>
+					<dim>640</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.model.0.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 16, 1, 1" offset="68928" size="64" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="__module.model.0.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="93_1">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="93,input.1">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.model.1.conv.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="32, 16, 3, 3" offset="68992" size="18432" />
+			<output>
+				<port id="0" precision="FP32" names="self.model.1.conv.weight">
+					<dim>32</dim>
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="__module.model.1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>320</dim>
+					<dim>320</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>32</dim>
+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.model.1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 32, 1, 1" offset="87424" size="128" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.model.1.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="107_1">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_1" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="107,input.5">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="self.model.2.cv1.conv.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="32, 32, 1, 1" offset="87552" size="4096" />
+			<output>
+				<port id="0" precision="FP32" names="self.model.2.cv1.conv.weight">
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="__module.model.2.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>32</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="__module.model.2.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 32, 1, 1" offset="91648" size="128" />
+			<output>
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+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="__module.model.2.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="125_1">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_2" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="125,input.9">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="113" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="91776" size="8" />
+			<output>
+				<port id="0" precision="I64" names="113" />
+			</output>
+		</layer>
+		<layer id="18" name="Constant_216" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="91784" size="16" />
+			<output>
+				<port id="0" precision="I64" names="127">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="__module.model.2/prim::ListUnpack" type="VariadicSplit" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>160</dim>
+					<dim>160</dim>
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+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="129">
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+					<dim>16</dim>
+					<dim>160</dim>
+					<dim>160</dim>
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+					<dim>16</dim>
+					<dim>160</dim>
+					<dim>160</dim>
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+			</output>
+		</layer>
+		<layer id="20" name="self.model.2.m.0.cv1.conv.weight" type="Const" version="opset1">
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+			<output>
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+					<dim>3</dim>
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+		</layer>
+		<layer id="21" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
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+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>160</dim>
+					<dim>160</dim>
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+		</layer>
+		<layer id="22" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Reshape" type="Const" version="opset1">
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+		<layer id="23" name="__module.model.2.m.0.cv1.conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+					<dim>160</dim>
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+		<layer id="24" name="__module.model.23.cv3.2.1.1.act/aten::silu_/Swish_3" type="Swish" version="opset4">
+			<input>
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+					<dim>16</dim>
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+					<dim>160</dim>
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+		<layer id="25" name="self.model.2.m.0.cv2.conv.weight" type="Const" version="opset1">
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+					<dim>16</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>160</dim>
+					<dim>160</dim>
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+		<layer id="27" name="__module.model.2.m.0.cv2.conv/aten::_convolution/Reshape" type="Const" version="opset1">
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+					<dim>16</dim>
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+		<edge from-layer="574" from-port="3" to-layer="575" to-port="0" />
+	</edges>
+	<rt_info>
+		<Runtime_version value="2024.4.0-16579-c3152d32c9c-releases/2024/4" />
+		<conversion_parameters>
+			<framework value="pytorch" />
+			<is_python_object value="True" />
+		</conversion_parameters>
+		<model_info>
+			<iou_threshold value="0.7" />
+			<labels value="box hand oring_100_b oring_40_b oring_d105 oring_d300_b oring_l1150 oring_l380_b oring_l500 oring_l600 oring_l650_b ring_40mm ring_45mm ring_58mm schraube_sk_m10x25 schraube_sk_m10x30 schraube_sk_m10x45 schraube_sk_m12x20 schraube_sk_m12x50 table" />
+			<model_type value="YOLOv8" />
+			<pad_value value="114" />
+			<resize_type value="fit_to_window_letterbox" />
+			<reverse_input_channels value="YES" />
+			<scale_values value="255" />
+		</model_info>
+	</rt_info>
+</net>
diff --git a/models/yolov10n_e300_openvino_model/metadata.yaml b/models/yolov10n_e300_openvino_model/metadata.yaml
new file mode 100644
index 0000000..c2ac264
--- /dev/null
+++ b/models/yolov10n_e300_openvino_model/metadata.yaml
@@ -0,0 +1,33 @@
+description: Ultralytics YOLOv10n model trained on rf_version2/geisi2-4/data.yaml
+author: Ultralytics
+date: '2024-09-24T13:16:48.802051'
+version: 8.2.100
+license: AGPL-3.0 License (https://ultralytics.com/license)
+docs: https://docs.ultralytics.com
+stride: 32
+task: detect
+batch: 1
+imgsz:
+- 640
+- 640
+names:
+  0: box
+  1: hand
+  2: oring_100_b
+  3: oring_40_b
+  4: oring_d105
+  5: oring_d300_b
+  6: oring_l1150
+  7: oring_l380_b
+  8: oring_l500
+  9: oring_l600
+  10: oring_l650_b
+  11: ring_40mm
+  12: ring_45mm
+  13: ring_58mm
+  14: schraube_sk_m10x25
+  15: schraube_sk_m10x30
+  16: schraube_sk_m10x45
+  17: schraube_sk_m12x20
+  18: schraube_sk_m12x50
+  19: table
diff --git a/models/yolov8n.pt b/models/yolov8n.pt
new file mode 100644
index 0000000..0db4ca4
Binary files /dev/null and b/models/yolov8n.pt differ