diff --git a/ar_tag_pose/detector_board_main.py b/ar_tag_pose/detector_board_main.py
index 3c11e18..41121d5 100644
--- a/ar_tag_pose/detector_board_main.py
+++ b/ar_tag_pose/detector_board_main.py
@@ -10,6 +10,7 @@ from ar_tag_pose.utils import to_tf, to_euler, draw_text
 from detector_board import BoardDetector
 from detector_board_aruco import BoardDetectorAruco
 from detector_board_charuco import BoardDetectorCharuco
+from cv2_enumerate_cameras import enumerate_cameras
 
 RESULTS_FOLDER = "results"
 
@@ -19,6 +20,7 @@ class Detector(abc.ABC):
 		self.detector = detector
 		self.out_file = out_file
 		self.rotation_order = rotation_order
+		self.camera_name = "UnknownCamera"
 		self.device_id = None
 		self.src_video = None
 		self.src_images = None
@@ -37,13 +39,30 @@ class Detector(abc.ABC):
 				self.src_images = f"{os.path.dirname(source)}/{name}_%0{len(numeric_part)}d.{suffix}"
 
 		Path.mkdir(Path(RESULTS_FOLDER), exist_ok=True)
-		self.camera_name = "YourCameraNameHere"
+
+		self.cap = None
+		if self.device_id is not None:
+			# Open camera
+			self.cap = cv.VideoCapture(self.device_id)
+			self.cap_init()
+		elif  self.src_video is not None:
+			# Open video file
+			self.cap = cv.VideoCapture(self.src_video)
+		elif self.src_images is not None:
+			# Open image file sequence
+			self.cap = cv.VideoCapture(self.src_images, cv.CAP_IMAGES)
+
 
 	def params_save(self):
 		with open(f"{RESULTS_FOLDER}/{self.params["name"]}.json", 'w') as fp:
 			json.dump(self.params, fp, indent=4)
 
-	def cap_init(self, cap: cv.VideoCapture):
+	def cap_init(self):
+		backends = {'V4L2': cv.CAP_V4L}
+		cam_dict = enumerate_cameras(backends[self.cap.getBackendName()])
+		self.camera_name = cam_dict[self.device_id].name
+		print(self.camera_name)
+
 		camera_params_default = {
 			cv.CAP_PROP_FRAME_WIDTH: 1920 * 2,
 			cv.CAP_PROP_FRAME_HEIGHT: 1080 * 2,
@@ -60,7 +79,7 @@ class Detector(abc.ABC):
 			key = item
 			value = camera[key]
 			print(f"{item}:  {value}")
-			cap.set(key, value)
+			self.cap.set(key, value)
 
 		self.params['camera'] = {self.camera_name: camera}
 		self.params_save()
@@ -98,6 +117,7 @@ class Detector(abc.ABC):
 					calib = {self.camera_name: {str(det): {'mtx': mtx.tolist(), 'dist': dist.tolist()}}}
 					det.calibration_set(mtx, dist, None, None)
 					self.params['calib'] = calib
+					self.params_save()
 					print(f"Loaded {filename} successfully!")
 			except FileNotFoundError:
 				pass
@@ -105,18 +125,7 @@ class Detector(abc.ABC):
 				pass
 
 	def process(self):
-		cap = None
-		if self.device_id is not None:
-			# Open camera
-			cap = cv.VideoCapture(self.device_id)
-			self.cap_init(cap)
-		elif  self.src_video is not None:
-			# Open video file
-			cap = cv.VideoCapture(self.src_video)
-		elif self.src_images is not None:
-			# Open image file sequence
-			cap = cv.VideoCapture(self.src_images, cv.CAP_IMAGES)
-
+		cap = self.cap
 		if cap is None or not cap.isOpened():
 			print("Cannot open media")
 			exit()
diff --git a/pyproject.toml b/pyproject.toml
index 491e81a..2af8a44 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -15,7 +15,8 @@ dependencies = [
     "opencv-python",
     "opencv-contrib-python",
     "scipy",
-    "reedsolo"
+    "reedsolo",
+    "cv2_enumerate_cameras"
 ]
 readme = "README.md"