diff --git a/mission/mission_core/missions/dock_mission.py b/mission/mission_core/missions/dock_mission.py
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+++ b/mission/mission_core/missions/dock_mission.py
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+'''
+Dock Mission
+
+The variables and functions defined here must exist in all mission classes.
+Comments are provided to explain the purpose of each variable and function and can be removed.
+'''
+
+from typing import Dict, Tuple
+
+from comms_core import Logger
+from ..mission_node import PositionData
+from perception_core import CameraData, Results
+
+import math
+import cv2
+import time
+
+
+class DockMission(Logger):
+
+    # Define the initial perception commands here (if any)
+    # This dictionary must exist, but some commands are entered as examples
+    init_perc_cmd = {
+        "start": ["center", "starboard"],
+        "stop": ["port"],
+        # "record": ["center"],
+        "load_model": [("center", "dock.pt"), ("starboard", "dock.pt")],
+    }
+
+    def __init__(self, targetColor=2, debug_mode=False):
+        super().__init__(str(self))
+        self.targetScanDockHeading = 180
+        self.targetFindMissionHeading = 160
+        self.count = 0
+        self.closeToBackboard = False
+        self.AMSStatus = 1      #1 is scanning, 2 is docking
+        self.DeliveryStatus = 1
+        self.targetColor = targetColor    # set from other function
+        self.confThreshold = 0.5
+        self.tolerance = 200  # Adjust tolerance as needed
+        self.confThresholdBackboard = 0.35
+        self.targetDockHeading = 270
+        """
+        0 red
+        1 green
+        2 blue
+        3 backboard
+        """
+        self.debug_mode = debug_mode
+        self.color_count = 0
+        if self.debug_mode:
+            cv2.namedWindow("view", cv2.WINDOW_NORMAL)
+            cv2.resizeWindow("view", 640, 480)
+
+        self.log(f"Starting Dock Mission")
+
+    def __str__(self):
+        return self.__class__.__name__
+    
+    def mission_heartbeat(self):
+        '''
+        The heartbeat format can be found in the Team Handbook V3 Appendix D (Page 55).
+        The heartbeat must specify all relevant information about the mission BESIDES the following:
+         - Date
+         - Time
+         - Team ID
+         - Checksum
+        It must return a list of the required information in the correct order.
+        For example, Scan the Code would be: 
+        heartbeat = ["$RXCOD", self.light_pattern]
+        '''
+        
+        
+        # For self.AMSStatus, 1 for docking, 2 for complete
+        # For self.DeliveryStatus, S for scanning, D for delivering
+        
+        heartbeat = ["$RXDOK", self.AMSStatus, self.DeliveryStatus]
+        return heartbeat
+
+    def run(self, camera_data: Dict[str, CameraData], position_data: PositionData, occupancy_grid = None) -> Tuple[Dict, Dict, Dict]:
+        '''
+        Camera data is a dictionary with the following format:
+        {
+            "port": CameraData,
+            "starboard": CameraData,
+            "center": CameraData
+        }
+        CameraData is a class that contains the image frame and the results of a Yolo model (if running).
+        And can be accessed like so:
+            camera_data.frame
+            camera_data.results
+
+        PositionData is a class that contains the current position and heading of the vehicle.
+        And can be accessed like so:
+            position_data.lat : float
+            position_data.lon : float
+            position_data.position : tuple (lat, lon)
+            position_data.heading : float
+
+        The output perc_cmd has the following format (does not have to be filled):
+        You only need to put any arguements in here if you want to change the current perception config.
+        {
+            "start": ["camera_name"],
+            "stop": ["camera_name"],
+            "record": ["camera_name"],
+            "stop_record": ["camera_name"],
+            "load_model": [("camera_name", "model_path")],
+            "stop_model": ["camera_name"]
+        }
+
+        The output gnc_cmd has the following format (does not have to be filled):
+        {
+            "heading": float, # The target heading for the boat to turn towards
+            "vector": tuple, # The target vector for the boat to head towards (will override heading)
+            "poshold": bool, # Whether to set the GNC to poshold mode (heading is not maintained but position is)
+            "waypoint": tuple, # The target waypoint to set the GNC to (This can also be a list of waypoints) (sending any other commands will override this)
+            "end_mission": bool # Whether to end the mission
+        }
+
+        You can log/print data by using the self.log() function inherited from the Logger class.
+        It is f-string compatible so you can call it like so:
+            self.log(f"Position: {position_data.position}")
+            or just self.log("hi there") or self.log(variable)
+
+        '''
+        perc_cmd = {}
+        gnc_cmd = {}
+        
+        
+        self.count = 0
+        if (not self.closeToBackboard):
+            # We need to start getting closer to the backboard before scanning
+            if self.count < 2 and position_data is not None:
+                if position_data.heading is not None and position_data.position is not None:
+                    self.log(f"Setting end waypoint to somewhere we can see the backboard")
+                    target_waypoint = self.destination_point(position_data.lat, position_data.lon, self.targetFindMissionHeading, 30)
+                    gnc_cmd["waypoint"] = target_waypoint
+                    self.count += 1
+            
+            # At the end of here we need a condition for when we are close enough to stop, 
+            # turn to target heading, and set a waypoint infront of us to navigate to while we scan
+            # and set closeToBackboard to true
+            perc_cmd = {}
+            gnc_cmd = {}
+
+            gnc_cmd["vector"] = [0, 0.3]
+
+            if position_data is None:
+                return perc_cmd, gnc_cmd
+            
+            if position_data.heading is None:
+                return perc_cmd, gnc_cmd
+
+            center_camera_data = camera_data.get("center")
+            port_camera_data = camera_data.get("port")
+            starboard_camera_data = camera_data.get("starboard")
+
+            center_backboard_location = self.process_backboard_location("center", center_camera_data)
+            if center_camera_data is not None:
+                if center_camera_data.frame is not None and self.debug_mode:
+                    cv2.imshow("view", center_camera_data.frame)
+                    if cv2.waitKey(2) & 0xFF == ord('q'):
+                        pass
+            port_backboard_location = self.process_backboard_location("port", port_camera_data)
+            starboard_backboard_location = self.process_backboard_location("starboard", starboard_camera_data)
+
+            # If any camera sees a color, add to the count
+            if center_backboard_location is True or port_backboard_location is True or starboard_backboard_location is True:
+                self.color_count += 1
+                return perc_cmd, gnc_cmd
+
+            # 5 frames of color detection is enough to assume we are at the platform
+            if self.color_count >= 5:
+                gnc_cmd = {
+                    "poshold": True,
+                }
+                self.warning("Got 5 color detections, going ")
+                self.closeToBackboard = True
+                self.count = 0
+                return perc_cmd, gnc_cmd
+
+            gnc_cmd["heading"] = position_data.heading - 3
+            # If the center camera sees the platform, head towards it
+            if center_backboard_location is not None:
+                ratio, conf = center_backboard_location
+                if abs(ratio) < 0.1:
+                    gnc_cmd["vector"] = [0,0.5]
+                    gnc_cmd["heading"] = position_data.heading
+                elif ratio < 0:
+                    gnc_cmd["heading"] = position_data.heading - 6
+                elif ratio > 0:
+                    gnc_cmd["heading"] = position_data.heading + 6
+                return perc_cmd, gnc_cmd
+            
+            # If the port camera sees the platform, yaw to the left
+            if port_backboard_location is not None:
+                ratio, conf = port_backboard_location
+                gnc_cmd["vector"] = [0,0.2]
+                gnc_cmd["heading"] = position_data.heading - 15
+                return perc_cmd, gnc_cmd
+            
+            # If the starboard camera sees the platform, yaw to the right
+            if starboard_backboard_location is not None:
+                ratio, conf = starboard_backboard_location
+                gnc_cmd["vector"] = [0,0.2]
+                gnc_cmd["heading"] = position_data.heading + 15
+                return perc_cmd, gnc_cmd
+
+            return perc_cmd, gnc_cmd
+            
+        
+        else:
+            # We are close to the back board 
+            #TODO Question
+            # Need to waypoint navigate to starting position
+            
+            # Need to start slowly navigating to end waypoint
+            if self.count < 2 and position_data is not None:
+                if position_data.heading is not None and position_data.position is not None:
+                    self.log(f"Setting end waypoint to end of the dock")
+                    # Just want to point at 180 degrees and start going along the dock
+                    target_waypoint = self.destination_point(position_data.lat, position_data.lon, self.targetScanDockHeading, 30)
+
+                    gnc_cmd["waypoint"] = self.endingWaypoint
+                    self.count += 1
+            
+            
+            # if self.count < 2 and position_data is not None:
+            #     if position_data.heading is not None and position_data.position is not None:
+            #         # This is to ensure we dont keep recalculating a different waypoint as we move
+            #         target_waypoint = self.destination_point(position_data.lat, position_data.lon, position_data.heading, 50)
+            #         gnc_cmd["waypoint"] = target_waypoint
+            #         self.count += 1
+            
+            # Start scanning with starboard camera for the selected color
+            if(self.AMSStatus == 1):
+                cam_data = camera_data.get("starboard")
+                cam_results = cam_data.results
+                cam_frame = cam_data.frame
+            elif (self.AMSStatus == 2):
+                cam_data = camera_data.get("center")
+                cam_results = cam_data.results
+                cam_frame = cam_data.frame
+
+            if cam_results is None:
+                return perc_cmd, gnc_cmd
+            
+            detectedColors = {}
+            for result in cam_results:
+                for box in result.boxes:
+                    conf = box.conf.item()
+                    cls_id = box.cls.item()
+                    x1, y1, x2, y2 = box.xyxy.cpu().numpy().flatten()
+                    if (conf >= self.confThreshold):
+                        # Append the class id, confidence, and bounding box coordinates to list
+                        
+                        detectedColors[cls_id] = ((x1, y1, x2, y2))
+                            
+            if len(detectedColors) == 0:
+                return perc_cmd, gnc_cmd
+            
+            self.log(f"Current AMSStatus: {self.AMSStatus}, Current DeliveryStatus: {self.DeliveryStatus}, Detected colors: {detectedColors}")
+            # Check and see if we found the desired color:
+            bounding_box_coords = detectedColors[self.targetColor]
+            if(bounding_box_coords is None):
+                # No color found so skip
+                return perc_cmd, gnc_cmd
+                
+                
+            # Extract the bounding box coordinates        
+            x1, y1, x2, y2 = bounding_box_coords
+            _, width = cam_frame.shape[:2]
+            frame_center_x = width // 2
+
+
+            # Calculate the center of the bounding box
+            box_center_x = (x1 + x2) // 2
+
+            # Check if the bounding box center is at the frame center
+            
+            is_centered = (
+                abs(box_center_x - frame_center_x) <= self.tolerance
+            )
+            
+            self.log(f"isCentered: {is_centered}, box_center: {box_center_x}, frame_center: {frame_center_x}, difference: {box_center_x - frame_center_x}, Tolerence: {self.tolerence}")
+            
+            if self.AMSStatus == 1 and is_centered:
+                # Moving to new stage where we turn and move forward     
+                self.AMSStatus = 2
+                #Turn 90 degrees  
+                if position_data.heading is not None and position_data.position is not None:
+                    target_waypoint = self.destination_point(position_data.lat, position_data.lon, self.targetDockHeading, 10)
+                    start_time = time.time()
+
+                    gnc_cmd["waypoint"] = target_waypoint
+                    return perc_cmd, gnc_cmd
+        
+            # Fire racket ball#TODO
+            self.log(f"Would send command to fire racketball")
+            
+            # End mission #TODO is this when we end mission
+            if (self.AMSStatus == "D"):
+                    elapsed_time = time.time() - start_time
+                    self.log(f"Pulling into the dock")
+
+                    if elapsed_time >= 5:
+                        self.log(f"In dock, ending mission")
+                        gnc_cmd = {"end_mission": True} 
+            
+        
+            
+            return perc_cmd, gnc_cmd
+
+    def end(self):
+        '''
+        Any cleanup code can be placed here.
+        This function is called when the run function returns end_mission = True 
+        or when the mission handler decides to end the mission.
+        '''
+        pass
+    
+    
+    
+    def destination_point(self, lat, lon, bearing, distance) -> Tuple[float, float]:
+        """
+        Calculate the destination point given a starting point, bearing, and distance in meters
+        """
+        # convert decimal degrees to radians
+        lon, lat, bearing = map(math.radians, [lon, lat, bearing])
+
+        distance = distance/1000
+
+        # calculate the destination point
+        lat2 = math.asin(math.sin(lat) * math.cos(distance/6371) + math.cos(lat) * math.sin(distance/6371) * math.cos(bearing))
+        lon2 = lon + math.atan2(math.sin(bearing) * math.sin(distance/6371) * math.cos(lat), math.cos(distance/6371) - math.sin(lat) * math.sin(lat2))
+        lat2 = math.degrees(lat2)
+        lon2 = math.degrees(lon2)
+        return lat2, lon2
+    
+    
+    def process_backboard_location(self, name, camera_data: CameraData) -> Tuple[float, float] | None | bool:
+        '''
+        This function processes the backboard location from the camera data.
+        It returns the backboard location in the form of a tuple (ratio, conf) where ratio is the distance of the backboard
+        from the center of the image.
+        and conf is the confidence of the backboard detection.
+        If no backboard is detected, it returns None.
+        If it starts detecting the colors, it returns True.
+        '''
+        results = camera_data.results
+        if camera_data.results is None:
+            return None
+        if camera_data.frame is None:
+            return None
+        
+        frame_width = camera_data.frame.shape[1]
+
+        conf_list = []
+        for result in results:
+            for box in result.boxes:
+                conf = box.conf.item()
+                cls_id = box.cls.item()
+                x1, y1, x2, y2 = box.xyxy.cpu().numpy().flatten()
+                if conf > self.confThresholdBackboard:
+                    # Append the class id, confidence, and bounding box coordinates to conf_list
+                    conf_list.append((int(cls_id), conf, (x1, y1, x2, y2)))
+                        
+        if len(conf_list) != 0:
+            # If a color and backboard is detected, return True
+            for cls_id, conf, _ in conf_list:
+                if cls_id in [0,1,2,3] and conf > 0.6:
+                    if any([cls_id == 4 for cls_id, conf, _ in conf_list]):
+                        self.warning("Color and backboard detected")
+                        return True and name == "center"
+            # If a backboard is detected, return the backboard location
+            for conf in conf_list:
+                if conf[0] == 4:
+                    x1, y1, x2, y2 = conf[2]
+                    x = (x1 + x2) / 2
+                    ratio = (x / frame_width) - 0.5
+                    self.warning(f"{name}: backboard detected {ratio}, {conf[1]}")
+                    return ratio, conf[1]
+        # No detections
+        return None
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