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Lidar/README.md

+# 2020-066
+D-Fog An image processing application for defogging.
+
+
+#### Group Details
+```
+    +-- IT17046312(Kulasekara K.M.R.A)  - Enhancement of imagery in fog by using dehaze methods in image processing(fog removel).
+
+    +-- IT17003674((Indiketiya I.H.O.H))  -  Converting heat signals to normal image using both dehazed image and heatsignals real time and identifying obstacles.
+
+    +-- IT17006330 (Thomas J.M)Using lidar sensors and detecting object sizes and distance real time
+
+    +-- 
+------------------------------------------------------------------------------
+
+**Main Objective -**
+A fast real time haze removal device with object detection and 
+object recgnition.
+
+**Main Research Questions -**
+
+Now a days low visibility condition are a frequent occurrence. Due to fog and 
+haze, visibility is impaired. Poor visibility causes flight delay, diversion, 
+cancellation as well as automobile accidents. Driving at night in case of fog 
+forms a challenging condition which may lead to a fatal accident. We have seen 
+a drastic change in the environmental condition also pollution has aggravated 
+the problem and proving to be fatal. This issue prevails on a larger scale in 
+the industrial region but with the escalating development and industrialization, 
+it will not take long to spread across the country. Thus, the problem is to deal 
+with such situations in which human performance is limited by low visibility.
+The resolution of the human eye is 324 to 576 megapixels depending upon the 
+angle of vision, but in the case of fog or other weather haze, the visibility 
+is impaired.
+
+**Individual research question -** 
+
+
+
+1. IT17152624 (Indiketiya I.H.O.H)
+
+*  Converting heat signals to normal image using both dehazed image and heat 
+signals real time and identifying obstacles.
+
+
+2. IT17046312 (Kulasekara K.M.R.A)
+
+*  Enhancement of imagery in fog by using dehaze methods in image processing
+
+
+3. IT17006330 (Thomas J.M)
+
+*  Using lidar sensors and detecting object sizes and distance real time
+
+**Individual Objectives -**
+
+
+*  IT17152624 (Indiketiya I.H.O.H)
+
+1. Installing Thermal Sensor to the Vehicle
+
+2. Combining Heat Signals with Defogged Image
+
+3. mentioning by a box or a circle there is a person or an animal in front 
+of the vehicle
+
+
+
+*  IT17046312 (Kulasekara K.M.R.A)
+
+1. Currently there are methods to dehaze images which are already captured. 
+But not to a real-time taken image or video because it changes the details 
+with the time.
+
+2. Using front mounted camera we take the hazed real-time image.
+
+3. And we research these methods in image processing to remove haze conditions 
+are applicable in the real-time taken image or video.
+
+4. From that methods (ex: laplacian filter) we remove fog in day and night 
+relevantly.
+
+*  IT17006330 (Thomas J.M)
+
+1.  Safety and operations during travel is one of the critical areas in 
+transportation. So using this technology we can get a clear dehazed image 
+of the objects ahead of the vehicle. This lidar sensor uses lasers to find 
+the distance and size of the objects which is integrated into the image 
+which will display a square shape and name around the object. The objective 
+of the component is to give the driver get a clear understanding of the 
+surrounding.
+
+------------------------------------------------------------------------------
+## Branch Structure
+
+```
+
+development    #development was done in this branch
+|
+|
+|
+-Getting heat signals through the sensor and analyzing them
+
+-development
+
+-Upload New File
+
+-defog form
+
+-Delete defog.WindowsForms.csproj
+
+-interface for App connect with camera
+
+-Upload New File
+
+-initial creation of adding filter to remove noise
+
+-Getting a realtime video
+|
+|
+defog_app
+|
+|
+|
+-initial app creating  #front end
+
+------------------------------------------------------------------------------
+
+##Dependencies
+
+-----for fogremovel------
+
+     1.AFroge.Net(2.2.5) 
+     2.webcamera
+ 
+------Dark Channel piror with python---
+
+      1.pillow(2.6.0)
+      2.Numpy()
+
+----- object detection--------
+     
+     1.VideoStream
+
+     2.FPS
+
+     3.Numpy
+
+     4.Argparse
+
+     5.Imutils
+
+     6.Time
+
+     7.Cv2
+
+     8.Serial
+
+     9.Sleep
+
+     10.Enum
+--- thermol sensor-----
+     1.yolo V3
+     2.numpy
+    3.transorFlow
+
+
+------------------------------------------------------------------------------
+##How to generate the results##
+ 
+-----for fogremovel------
+ use visul studio 2019 
+
+------Dark Channel piror with python---
+
+Enter the src directory, run python main.py. 
+
+
+