diff --git a/adcvApp/adcvSrc/NDPluginCVHelper.cpp b/adcvApp/adcvSrc/NDPluginCVHelper.cpp
index a13cd9c..185ffd5 100644
--- a/adcvApp/adcvSrc/NDPluginCVHelper.cpp
+++ b/adcvApp/adcvSrc/NDPluginCVHelper.cpp
@@ -612,6 +612,7 @@ ADCVStatus_t NDPluginCVHelper::find_centroids(Mat& img, double* inputs, double*
     int thresholdVal = (int)inputs[2];
     double upperSizeThreshold = inputs[3];
     double lowerSizeThreshold = inputs[4];
+    int reverseY = (int)inputs[5];
     try {
         // first we need to convert to grayscale if necessary
         GaussianBlur(img, img, Size(blurDegree, blurDegree), 0);
@@ -661,8 +662,15 @@ ADCVStatus_t NDPluginCVHelper::find_centroids(Mat& img, double* inputs, double*
         int counter = 0;
         for (k = 0; k < contour_centroids.size(); k++) {
             outputs[counter] = contour_centroids[k].x;
-            if (contour_centroids[k].y != 0)
-                outputs[counter + 1] = img.size().height - contour_centroids[k].y;
+            if (contour_centroids[k].y != 0) {
+                //to preserve old behavior, "reverse" aspect is just the plain Y value
+                if (reverseY) {
+                    outputs[counter + 1] = contour_centroids[k].y;
+                }
+                else { //this is the old behavior
+                    outputs[counter + 1] = img.size().height - contour_centroids[k].y;
+                }
+            }
             counter = counter + 2;
             if (counter >= NUM_OUTPUTS) break;
         }
@@ -1267,13 +1275,14 @@ ADCVStatus_t NDPluginCVHelper::get_centroid_finder_description(string* inputDesc
                                                                string* outputDesc,
                                                                string* description) {
     ADCVStatus_t status = cvHelperSuccess;
-    int numInput = 5;
+    int numInput = 6;
     int numOutput = 10;
     inputDesc[0] = "Num Largest Contours (Int 1 - 5)";
     inputDesc[1] = "Blur degree (Int) Ex. 3";
     inputDesc[2] = "Threshold Value (Int) Ex. 100";
     inputDesc[3] = "Upper Size Threshold Ex. 600*400";
     inputDesc[4] = "Lower Size Threshold Ex. 400";
+    inputDesc[5] = "Reverse Y";
     outputDesc[0] = "Centroid 1 X";
     outputDesc[1] = "Centroid 1 Y";
     outputDesc[2] = "Centroid 2 X";
diff --git a/docs/ADCompVision/ADCompVision.rst b/docs/ADCompVision/ADCompVision.rst
index 7baffdb..3017a3f 100644
--- a/docs/ADCompVision/ADCompVision.rst
+++ b/docs/ADCompVision/ADCompVision.rst
@@ -214,7 +214,8 @@ of desired objects to find, the blur degree (3 or 5 is usually best), a
 threshold value, and an upper and lower pixel area threshold for the
 objects. Play around with these numbers until the desired objects are
 detected. The centroid centers are then outputted into the 'Output' PV
-values
+values. The "Reverse Y" option, when set to 1, will flip the Y coordinate
+output to match, for example, what NDOverlay is expecting.
 
 **Video Record**
 
diff --git a/docs/ADCompVision/ADCompVisionManual.rst b/docs/ADCompVision/ADCompVisionManual.rst
index 6e6538b..5b88666 100644
--- a/docs/ADCompVision/ADCompVisionManual.rst
+++ b/docs/ADCompVision/ADCompVisionManual.rst
@@ -142,9 +142,9 @@ function, along with descriptions for each function
   <tr>
   <th>FindObjectCentroids
   </th>
-  <th>5
+  <th>6
   </th>
-  <th>[Num Largest Contours (Int), Blur Degree (Int), Threshold Value (Int), Upper Size Threshold (Int), Lower Size Threshold (Int)]
+  <th>[Num Largest Contours (Int), Blur Degree (Int), Threshold Value (Int), Upper Size Threshold (Int), Lower Size Threshold (Int), Reverse Y (Int)]
   </th>
   <th>2-10
   </th>