diff --git a/runtime_data/config/vn2.conf b/runtime_data/config/vn2.conf
new file mode 100755
index 0000000..222e7b7
--- /dev/null
+++ b/runtime_data/config/vn2.conf
@@ -0,0 +1,53 @@
+; Two-line Vietnam style plates
+
+; 35-50; 45-60, 55-70, 65-80, 75-90
+char_analysis_min_pct = 0.05 
+char_analysis_height_range = 0.25
+char_analysis_height_step_size = 0.05  
+char_analysis_height_num_steps = 6
+
+;segmentation_min_speckle_height_percent = 0.15
+segmentation_min_box_width_px = 5
+segmentation_min_charheight_percent = 0.1 
+segmentation_max_segment_width_percent_vs_average = 2.0
+
+plate_width_mm = 287
+plate_height_mm = 209
+
+multiline = 1
+
+char_height_mm = 80
+char_width_mm = 40
+char_height_mm = 80
+char_width_mm = 40
+
+
+char_whitespace_top_mm = 13
+char_whitespace_bot_mm = 13
+
+char_whitespace_between_lines_mm = 13
+
+template_max_width_px = 287
+template_max_height_px = 209
+
+; Higher sensitivity means less lines
+plateline_sensitivity_vertical = 100
+plateline_sensitivity_horizontal = 80
+
+; Regions smaller than this will be disqualified
+min_plate_size_width_px = 60
+min_plate_size_height_px = 45
+
+detector_file = vn2.xml
+
+ocr_language = leu
+
+; Override for postprocess letters/numbers regex. 
+postprocess_regex_letters = [A-Z]
+postprocess_regex_numbers = [0-9]
+
+; Whether the plate is always dark letters on light background, light letters on dark background, or both
+; value can be either always, never, or auto
+invert = auto
+
+
diff --git a/runtime_data/region/vn2.xml b/runtime_data/region/vn2.xml
new file mode 100755
index 0000000..28d96e6
--- /dev/null
+++ b/runtime_data/region/vn2.xml
@@ -0,0 +1,625 @@
+<?xml version="1.0"?>
+<opencv_storage>
+<cascade>
+  <stageType>BOOST</stageType>
+  <featureType>LBP</featureType>
+  <height>20</height>
+  <width>28</width>
+  <stageParams>
+    <boostType>GAB</boostType>
+    <minHitRate>9.9500000476837158e-01</minHitRate>
+    <maxFalseAlarm>4.4999998807907104e-01</maxFalseAlarm>
+    <weightTrimRate>9.4999999999999996e-01</weightTrimRate>
+    <maxDepth>1</maxDepth>
+    <maxWeakCount>100</maxWeakCount></stageParams>
+  <featureParams>
+    <maxCatCount>256</maxCatCount>
+    <featSize>1</featSize></featureParams>
+  <stageNum>11</stageNum>
+  <stages>
+    <!-- stage 0 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.0226867198944092e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
+            0 -1 3 -236978690 -71328259 1469446622 -41985 300805055
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
+            -6.8157231807708740e-01 6.2008899450302124e-01</leafValues></_>
+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
+            -6.3601404428482056e-01 5.6986278295516968e-01</leafValues></_></weakClassifiers></_>
+    <!-- stage 1 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.1183853149414062e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+    <!-- stage 2 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.9752599000930786e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+    <!-- stage 3 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.1232472658157349e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+    <!-- stage 4 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.1578670740127563e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+        <_>
+          <internalNodes>
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+          <leafValues>
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+    <!-- stage 5 -->
+    <_>
+      <maxWeakCount>6</maxWeakCount>
+      <stageThreshold>-8.1348818540573120e-01</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+        <_>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+        <_>
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+          <leafValues>
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+    <!-- stage 6 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.0814472436904907e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
+          <internalNodes>
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+        <_>
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+        <_>
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+    <!-- stage 7 -->
+    <_>
+      <maxWeakCount>5</maxWeakCount>
+      <stageThreshold>-1.0268830060958862e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
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+    <!-- stage 8 -->
+    <_>
+      <maxWeakCount>7</maxWeakCount>
+      <stageThreshold>-1.3468582630157471e+00</stageThreshold>
+      <weakClassifiers>
+        <_>
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+    <!-- stage 9 -->
+    <_>
+      <maxWeakCount>6</maxWeakCount>
+      <stageThreshold>-1.7895716428756714e+00</stageThreshold>
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+        <_>
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+    <!-- stage 10 -->
+    <_>
+      <maxWeakCount>7</maxWeakCount>
+      <stageThreshold>-1.0691219568252563e+00</stageThreshold>
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