diff --git a/Image-Processing/RealTime _Image_Histogram/Histogram_output.png b/Image-Processing/RealTime _Image_Histogram/Histogram_output.png
new file mode 100644
index 00000000..a30377fa
Binary files /dev/null and b/Image-Processing/RealTime _Image_Histogram/Histogram_output.png differ
diff --git a/Image-Processing/RealTime _Image_Histogram/README.md b/Image-Processing/RealTime _Image_Histogram/README.md
new file mode 100644
index 00000000..cb9c00ec
--- /dev/null
+++ b/Image-Processing/RealTime _Image_Histogram/README.md	
@@ -0,0 +1,31 @@
+# Image Processing
+
+Image Processing is most commonly termed as 'Digital Image Processing' and the domain in which it is frequently used is 'Computer Vision'. 
+Don't be confused - we are going to talk about both of these terms and how they connect. 
+Both Image Processing algorithms and Computer Vision (CV) algorithms take an image as input; however, in image processing,
+the output is also an image, whereas in computer vision the output can be some features/information about the image.
+
+## OpenCV
+
+![](https://logodix.com/logo/1989939.png)
+
+## Installation
+
+### Windows
+ $ pip install opencv-python
+### MacOS
+   $ brew install opencv3 --with-contrib --with-python3
+### Linux
+   $ sudo apt-get install libopencv-dev python-opencv
+   
+## Other Modules
+
+  $ pip install numpy <br>
+  $ pip install matplotlib
+  
+# About RealTime Image Histrogram
+This script is used to make real-time image histogram with respect to RGB (Red, Green, Blue) colors. It starts with open the camera to capture the image using **opencv** module, and store it to your script directory. After that by using **numpy** and **matplotlib** it creates the histogram of image by mapping it through 256 gray scales.
+
+# Output
+
+![](https://github.com/gulshanbaraik01/Awesome-Python-Scripts/blob/Image-Process/Image-Processing/RealTime%20_Image_Histogram/Histogram_output.png)
diff --git a/Image-Processing/RealTime _Image_Histogram/realtime0.png b/Image-Processing/RealTime _Image_Histogram/realtime0.png
new file mode 100644
index 00000000..e9b9b668
Binary files /dev/null and b/Image-Processing/RealTime _Image_Histogram/realtime0.png differ
diff --git a/Image-Processing/RealTime _Image_Histogram/realtime_image_histogram.py b/Image-Processing/RealTime _Image_Histogram/realtime_image_histogram.py
new file mode 100644
index 00000000..78e2b772
--- /dev/null
+++ b/Image-Processing/RealTime _Image_Histogram/realtime_image_histogram.py	
@@ -0,0 +1,34 @@
+# -*- coding: utf-8 -*-
+"""
+Created on Fri Aug 28 11:31:58 2020
+
+@author: Gulshan
+"""
+
+
+#Importing necessary libraries for capture image and plot histrogram
+import cv2
+import numpy as np
+from matplotlib import pyplot as plt
+
+#Script to capture realtime image
+webcam = cv2.VideoCapture(0)  #Inititalize object for camera
+i = 0
+while i < 10:
+    input('Press Enter to capture')
+    return_value, image = webcam.read()
+    cv2.imwrite('realtime'+str(i)+'.png', image)
+    if i == i: #Break when value becomes greater than 1
+        break
+del(webcam) #Delete camera object after capture
+
+#Script to load realtime captured image
+img = cv2.imread('realtime0.png')
+color = ('b','g','r')  #Create RGB Histogram
+plt.figure(figsize = (10, 8))
+for i, col in enumerate(color):
+    histr = cv2.calcHist([img],[i],None,[256],[0,256])
+    plt.plot(histr,color = col)
+    plt.xlim([0,256])
+plt.show() #Show Histogram
+