diff --git a/TeamCode/src/main/java/org/firstinspires/ftc/teamcode/auton/colorSensor/PropDetection.java b/TeamCode/src/main/java/org/firstinspires/ftc/teamcode/auton/colorSensor/PropDetection.java
index e5ec6265..560f6954 100644
--- a/TeamCode/src/main/java/org/firstinspires/ftc/teamcode/auton/colorSensor/PropDetection.java
+++ b/TeamCode/src/main/java/org/firstinspires/ftc/teamcode/auton/colorSensor/PropDetection.java
@@ -2,38 +2,143 @@
 
 import com.qualcomm.robotcore.eventloop.opmode.Autonomous;
 import com.qualcomm.robotcore.eventloop.opmode.OpMode;
-import com.qualcomm.robotcore.hardware.ColorSensor;
 
-import org.firstinspires.ftc.teamcode.subsystems.hardware.Hardware;
-import org.firstinspires.ftc.teamcode.subsystems.hardware.HardwareElement;
+import org.firstinspires.ftc.robotcore.external.Telemetry;
+import org.opencv.core.Core;
+import org.opencv.core.Mat;
+import org.opencv.core.Point;
+import org.opencv.core.Rect;
+import org.opencv.core.Scalar;
+import org.opencv.core.Size;
+import org.opencv.imgproc.Imgproc;
+import org.openftc.easyopencv.OpenCvPipeline;
+
+@Autonomous(name = "Team Prop Detection")
 
-@Autonomous(name = "Prop Dectection")
 public class PropDetection extends OpMode {
+    static int X = 145; //145
+    static int Y = 168;
+    static int W = 30;//30
+    static int H = 50;//50
 
-    private Hardware robot;
-    int red;
-    int blue;
-    int colorTolerence = 30;
-    boolean teamPropDetected = false;
+    public PropDetection(int boundX, int boundY, int width, int height) {
+        X = boundX;
+        Y = boundY;
+        W = width;
+        H = height;
+    }
 
     @Override
     public void init() {
-        robot = new Hardware(hardwareMap, telemetry);
-        robot.introduce(new HardwareElement<>(ColorSensor.class, hardwareMap, "colorSensor"));
-
-        telemetry.addData("Status", "Init");
+        telemetry.addData("Camera", "initializing");
     }
 
     @Override
     public void loop() {
-        red = robot.<ColorSensor>get("colorSensor").red();
 
-        if (red - colorTolerence < red && red < red + colorTolerence) {
-            teamPropDetected = true;
-        }
+    }
+
+    public enum ParkingPosition {
+        LEFT,
+        CENTER,
+        RIGHT
+    }
+
+
+    // TOPLEFT anchor point for the bounding box
+    private static Point PROP_TOPLEFT_ANCHOR_POINT = new Point(X, Y);
+
+    // Width and height for the bounding box
+    public static int REGION_WIDTH = W;
+    public static int REGION_HEIGHT = H;
+
+    // Lower and upper boundaries for colors
+    private static final Scalar
+            lower_blue_bounds = new Scalar(200, 200, 200, 255),
+            upper_blue_bounds = new Scalar(255, 255, 255, 255),
+            lower_red_bounds = new Scalar(0, 0, 0, 0),
+            upper_red_bounds = new Scalar(100, 100, 100, 255);
+
+    // Color definitions
+    private final Scalar
+            RED = new Scalar(255, 0, 0),
+            BLUE = new Scalar(0, 0, 255);
+
+    // Percent and mat definitions
+    private double redPercent, bluePercent;
+    private Mat redMat = new Mat(), blueMat = new Mat(), blurredMat = new Mat();
 
-        if (blue - colorTolerence < blue && blue < blue + colorTolerence) {
-            teamPropDetected = true;
+    // Anchor point definitions
+    Point prop_pointA = new Point(
+            PROP_TOPLEFT_ANCHOR_POINT.x,
+            PROP_TOPLEFT_ANCHOR_POINT.y);
+    Point prop_pointB = new Point(
+            PROP_TOPLEFT_ANCHOR_POINT.x + REGION_WIDTH,
+            PROP_TOPLEFT_ANCHOR_POINT.y + REGION_HEIGHT);
+
+    // Running variable storing the parking position
+    int position = 0;
+
+    //@Override
+    public Mat processFrame(Mat input) {
+        // Noise reduction
+        Imgproc.blur(input, blurredMat, new Size(5, 5));
+        blurredMat = blurredMat.submat(new Rect(prop_pointA, prop_pointB));
+
+        // Apply Morphology
+        Mat kernel = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(3, 3));
+        Imgproc.morphologyEx(blurredMat, blurredMat, Imgproc.MORPH_CLOSE, kernel);
+
+        // Gets channels from given source mat
+        Core.inRange(blurredMat, lower_red_bounds, upper_red_bounds, redMat);
+        Core.inRange(blurredMat, lower_blue_bounds, upper_blue_bounds, blueMat);
+
+        // Gets color specific values
+        redPercent = Core.countNonZero(redMat);
+        bluePercent = Core.countNonZero(blueMat);
+
+
+        // Calculates the highest amount of pixels being covered on each side
+        double maxPercent = Math.max(redPercent, bluePercent);
+
+        // Checks all percentages, will highlight bounding box in camera preview
+        // based on what color is being detected
+
+        if (maxPercent == redPercent) {
+            position = 2;
+            Imgproc.rectangle(
+                    input,
+                    prop_pointA,
+                    prop_pointB,
+                    RED,
+                    2
+            );
+            telemetry.addData("Color", "red");
+        } else if (maxPercent == bluePercent) {
+            position = 1;
+            Imgproc.rectangle(
+                    input,
+                    prop_pointA,
+                    prop_pointB,
+                    BLUE,
+                    2
+            );
+
+            telemetry.addData("Color", "blue");
         }
+        return input;
     }
+    // Memory cleanup
+        /*blurredMat.release();
+        redMat.release();
+        blueMat.release();*/
+
+    //return input;
 }
+
+
+// Returns an enum being the current position where the robot will park
+//public int getPosition() {
+//   return position;
+//}
+//}