diff --git a/mediapipe/python/solutions/ObjectDetection.py b/mediapipe/python/solutions/ObjectDetection.py
new file mode 100644
index 000000000..4db3e3728
--- /dev/null
+++ b/mediapipe/python/solutions/ObjectDetection.py
@@ -0,0 +1,52 @@
+import cv2
+import os
+from Bounding_boxes import run
+from Bounding_boxes import boxing
+
+
+def ObjectDetection(video_path):
+
+    path = os.path.abspath(video_path)
+
+    if(video_path==0):
+        cap = cv2.VideoCapture(0)
+    
+    else:
+        cap = cv2.VideoCapture(path)
+
+    ret = True                                       #creates a boolean 
+    ret, old_frame = cap.read()                      #ret is true and the first frame of video saved in old_frame
+
+
+    net = cv2.dnn.readNet('modules/object_detection/object_detection_weights.weights', 'modules/object_detection/object_detection.cfg')
+        
+    classes = []
+
+    with open('modules/object_detection/object_detection_labels.txt', 'r') as f:
+        classes = f.read().splitlines() 
+    
+    if not cap.isOpened():
+        raise IOError("Cannot open webcam/Cannot read file")
+
+    while ret:
+        ret, frame = cap.read()          #saves the first frame of video in frame
+
+        indexes = []
+        boxes = []
+        class_ids = []
+        confidences = []
+        indexes, boxes, class_ids, confidences = run(frame, net, classes)
+        font = cv2.FONT_HERSHEY_PLAIN
+
+        if len(indexes) <= 0:    #if no bounding box
+            continue
+        elif len(indexes) > 0:  #if bounding box is presrnt
+
+            frame = boxing(frame, indexes, boxes, class_ids, confidences, classes, font)
+        cv2.imshow('Output', frame)
+        c = cv2.waitKey(1)           #new frame comes after () ms
+        if cv2.waitKey(1) & 0xFF == ord('q'): #press q on keyboard to stop the webcam
+            break
+
+    cap.release()
+    cv2.destroyAllWindows()          #Once out of the while loop, the pop-up window closes automatically
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