Commit 05818bd9 authored by Indiketiya I.H.O.H's avatar Indiketiya I.H.O.H

Update README.md

parent 5376ec06
# 2020-066
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 -**
* IT17152624 (Indiketiya I.H.O.H)
Converting heat signals to normal image using both dehazed image and heat
signals real time and identifying obstacles.
* IT17046312 (Kulasekara K.M.R.A)
Enhancement of imagery in fog by using dehaze methods in image processing
* 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.
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